U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Process device diagnostics using process variable sensor signal

Patent 7010459 Issued on March 7, 2006. Estimated Expiration Date: Icon_subject June 5, 2023. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

3096434

3404264

3468164

3590370

3618592

3688190

3691842

3701280

3855858

Vortex flow meter transmitter including piezo-electric sensor
Patent #: 3948098
Issued on: 04/06/1976
Inventor: Richardson ,   et al.

More ...

Inventors

Assignee

Application

No. 10455815 filed on 06/05/2003

US Classes:

702/182, Performance or efficiency evaluation 700/174, Performance monitoring 73/861.24, Movable sensor responsive to vortices 137/14, Involving pressure control 340/870.37, Capacitive transmitter 73/861.12, With detecting electrodes 73/861.22, Vortex shedders 290/52, TURBOGENERATORS 162/49, With testing, sampling or analyzing 422/62, Automatic analytical monitor and control of industrial process 137/10, By speed of fluid 162/263, Measuring, testing, inspecting, indicating or illuminating 340/501, With particular system function (e.g., temperature compensation, calibration) 340/653, Electronic circuit or component 318/490, WITH SIGNALS, METERS, RECORDERS OR TESTING DEVICES 361/88, With specific voltage responsive fault sensor 324/537, Of individual circuit component or element 374/120, In spaced noncontact relationship to specimen 340/825.2, Synchronizing 374/173, By feedback in amplifier circuit or with constant current source in circuit 374/170, Digital output 73/168, BLOWER, PUMP, AND HYDRAULIC EQUIPMENT 219/497, Comprising voltage and/or current measuring and comparing or combining means 374/175, Thermal noise generated in conductor 365/96, Fusible 700/287, Turbine or generator control 415/1, METHOD OF OPERATION 73/116, MOTOR AND ENGINE TESTING 73/660, Rotating machinery or device 73/861.17, Selective or periodic sampling 324/765, Test of semiconductor device 310/319, Electrical output circuit 73/659, Spectrum analysis 324/713, With voltage or current signal evaluation 340/870.38, Resistive transmitter 73/118.1, Testing auxiliary unit 324/705, With comparison or difference circuit 324/718, To detect a flaw or defect 359/885, ABSORPTION FILTER 73/720, Strain gauge 318/701, Hysteresis or reluctance motor systems 73/718, Capacitive 340/870.3, With particular transmitter (e.g., piezoelectric, dynamo) 73/861.15, Plural pairs of detecting electrodes 324/763, DUT including test circuit 137/486, Responsive to change in rate of fluid flow 73/861.04, Of selected fluid mixture component 250/495.1, Including an infrared source 73/724, Capacitive 361/540, With terminal 73/1.63, With reference source or attachment therefor 374/1, THERMAL CALIBRATION SYSTEM 162/65, Oxygen, ozone or air 340/608, Stoppage 374/210, MISCELLANEOUS 340/870.17, Temperature 73/861.357, Drive and sensor element located on straight conduit portion 340/511, Threshold or window (e.g., of analog electrical level) 73/1.35, With pressure measurement or plural flowmeters 374/179, By thermoelectric potential generator (e.g., thermocouple) 73/861.23, Acoustic 374/185, Detail of resistive sensor 374/2, By thermal radiation emitting device (e.g., blackbody cavity) 701/109, Detection of O2 concentration 73/861.66, Sensing at plural transverse locations 700/79, Having protection or reliability feature 702/102, Tare weight adjusted 702/54, Acoustic or vibration sensor 374/183, By current modifying sensor 73/861.08, By measuring electrical or magnetic properties 706/25, Learning method 702/130, Temperature measuring system 166/53, AUTOMATIC 702/183, Diagnostic analysis 600/310, Infrared, visible light, or ultraviolet radiation directed on or through body or constituent released therefrom 710/63, Universal 700/51, Statistical process control (SPC) 361/23, Motor protective condition responsive circuits 708/400, Transform 330/296, Including particular biasing arrangement 700/28, Optimization or adaptive control 702/184, Maintenance 700/83, Having operator control interface (e.g., control/display console) 73/861.68, With heating element 702/58, For electrical fault detection 73/49.2, Receptacle 700/2, Plural processors 702/34, Wear or deterioration evaluation 710/62, Peripheral adapting 702/45, Flow metering 702/56, Vibration detection 73/579, Resonance, frequency, or amplitude study 709/223, COMPUTER NETWORK MANAGING 340/870.11, Plural transmitters 702/188, Remote supervisory monitoring 73/861.356, Signal processing or analysis details 700/282, Flow control (e.g., valve or pump control) 341/120, CONVERTER CALIBRATION OR TESTING 700/159, Machining 710/269, Handling vector 700/17, Operator interface (e.g., display with control) 341/118, CONVERTER COMPENSATION 73/862.08, Responsive to torque 343/701, Having electric space discharge device 175/39, WITH BIT WEAR SIGNAL GENERATING 700/97, Design or planning 700/128 Paper machine or subsystem control

Examiners

Primary: Hoff, Marc S.
Assistant: Charioui, Mohamed

Attorney, Agent or Firm

Foreign Patent References

  • 999950 CA 11/01/1976
  • 32 13 866 DE 10/01/1983
  • 35 40 204 DE 09/01/1986
  • 40 08 560 DE 09/01/1990
  • 43 43 747 DE 06/01/1994
  • 44 33 593 DE 06/01/1995
  • 195 02 499 DE 08/01/1996
  • 296 00 609 DE 03/01/1997
  • 197 04 694 DE 08/01/1997
  • 19930660 DE 07/01/1999
  • 199 05 071 DE 08/01/2000
  • 19905071 DE 08/01/2000
  • 299 17 651 DE 12/01/2000
  • 100 36 971 DE 02/01/2002
  • 102 23 725 DE 04/01/2003
  • 0 122 622 EP 10/01/1984
  • 0 413 814 EP 02/01/1991
  • 0 487 419 EP 05/01/1992
  • 0 512 794 EP 05/01/1992
  • 0 594 227 EP 04/01/1994
  • 0 624 847 EP 11/01/1994
  • 0 644 470 EP 03/01/1995
  • 0 825 506 EP 07/01/1997
  • 0 827 096 EP 09/01/1997
  • 0 838 768 EP 09/01/1997
  • 0 807 804 EP 11/01/1997
  • 1 058 093 EP 05/01/1999
  • 1 022 626 EP 07/01/2000
  • 2 302 514 FR 09/01/1976
  • 2 334 827 FR 07/01/1977
  • 928704 GB 06/01/1963
  • 1 534 280 GB 11/01/1978
  • 1 534 288 GB 11/01/1978
  • 2 310 346 GB 08/01/1997
  • 2 317 969 GB 04/01/1998
  • 2 342 453 GB 04/01/2000
  • 2 347 232 GB 08/01/2000
  • 57196619 JP 02/01/1982
  • 58-129316 JP 08/01/1983
  • 59-116811 JP 07/01/1984
  • 59-163520 JP 09/01/1984
  • 59-211196 JP 11/01/1984
  • 59-211896 JP 11/01/1984
  • 60-000507 JP 01/01/1985
  • 60-76619 JP 05/01/1985
  • 60-131495 JP 07/01/1985
  • 60-174915 JP 09/01/1985
  • 62-30915 JP 02/01/1987
  • 64-01914 JP 01/01/1989
  • 64-72699 JP 03/01/1989
  • 2-05105 JP 01/01/1990
  • 3-229124 JP 10/01/1991
  • 5-122768 JP 05/01/1993
  • 06242192 JP 09/01/1994
  • 06-248224 JP 10/01/1994
  • 7-063586 JP 03/01/1995
  • 07234988 JP 09/01/1995
  • 8-054923 JP 02/01/1996
  • 8-102241 JP 04/01/1996
  • 8-136386 JP 05/01/1996
  • 8-166309 JP 06/01/1996
  • 8-247076 JP 09/01/1996
  • 8-313466 JP 11/01/1996
  • 2712625 JP 10/01/1997
  • 2712701 JP 10/01/1997
  • 2753592 JP 03/01/1998
  • 07225530 JP 05/01/1998
  • 10-232170 JP 09/01/1998
  • 11-083575 JP 03/01/1999
  • WO 94/25933 WO 11/01/1994
  • WO 96/11389 WO 04/01/1996
  • WO 96/12993 WO 05/01/1996
  • WO 96/39617 WO 12/01/1996
  • WO 97/21157 WO 06/01/1997
  • WO 97/25603 WO 07/01/1997
  • WO 98/06024 WO 02/01/1998
  • WO 98/13677 WO 04/01/1998
  • WO 98/14855 WO 04/01/1998
  • WO 98/20469 WO 05/01/1998
  • WO 98/39718 WO 09/01/1998
  • WO 99/19782 WO 04/01/1999
  • WO 00/41050 WO 07/01/2000
  • WO 00/55700 WO 09/01/2000
  • WO 00/70531 WO 11/01/2000
  • WO 01/01213 WO 01/01/2001
  • WO 01/77766 WO 10/01/2001
  • WO 02/27418 WO 04/01/2002

International Class

G06F 11/30

Abstract

A diagnostic device for use in a process control system receives a sensor signal related to a process variable of a process sensed by a process variable sensor. A signal preprocessor provides a sensor power signal output as a function of a frequency distribution of power in the sensor signal. A process condition is determined based upon the sensor power signal.

Other References

  • U. S. Appl. No. 10/893,144, filed Jul. 2004, Brown et al.
  • U. S. Appl. No. 09/169,873, filed Oct. 12, 1998, Eryurek et al.
  • U. S. Appl. No. 09/175,832, filed Oct. 19, 1998, Eryurek et al.
  • U. S. Appl. No. 09/257,896, filed Feb. 25, 1999, Eryurek et al.
  • U. S. Appl. No. 09/303,869, filed May 3, 1999, Eryurek et al.
  • U. S. Appl. No. 09/335,212, filed Jun. 17, 1999, Kirkpatrick et al.
  • U. S. Appl. No. 09/344,631, filed Jun. 25, 1999, Eryurek et al.
  • U. S. Appl. No. 09/360,473, filed Jul. 23, 1999, Eryurek et al.
  • U. S. Appl. No. 09/369,530, filed Aug. 6, 1999, Eryurek et al.
  • U. S. Appl. No. 09/383,828, filed Aug. 27, 1999, Eryurek et al.
  • U. S. Appl. No. 09/384,876, filed Aug. 27, 1999, Eryurek et al.
  • U. S. Appl. No. 09/406,263, filed Sep. 24, 1999, Kirkpatrick et al.
  • U. S. Appl. No. 09/409,098, filed Sep. 30, 1999, Eryurek et al.
  • U. S. Appl. No. 09/409,114, filed Sep. 30, 1999, Eryurek et al.
  • U. S. Appl. No. 09/565,604, filed May 4, 2000, Eryurek et al.
  • U. S. Appl. No. 09/576,450, filed May 23, 2000, Wehrs.
  • U. S. Appl. No. 09/606,259, filed Jun. 29, 2000, Eryurek.
  • U. S. Appl. No. 09/616,118, filed Jul. 14, 2000, Eryurek et al.
  • U. S. Appl. No. 09/627,543, filed Jul. 28, 2000, Eryurek et al.
  • U. S. Appl. No. 09/576,719, filed May 23, 2000, Coursolle et al.
  • U. S. Appl. No. 09/799,824, filed Mar. 5, 2001, Rome et al.
  • U. S. Appl. No. 09/855,179, filed May 14, 2001, Eryurek et al.
  • U. S. Appl. No. 09/852,102, filed May 9, 2001, Eryurek et al.
  • “A TCP/IP Tutorial” by, Socolofsky et al., Spider Systems Limited, Jan. 1991 pp. 1-23.
  • “Approval Standards For Explosionproof Electrical Equipment General Requirements”, Factory Mutual Research, Cl. No. 3615, Mar. 1989, pp. 1-34.
  • “Approval Standard Intrinsically Safe Apparatus and Associated Apparatus For Use In Class I, II, and III, Division 1 Hazardous (Classified) Locations”, Factory Mutual Research, Cl. No. 3610, Oct. 1988, pp. 1-70.
  • “Automation On-line” by, Phillips et al., Plant Services, Jul. 1997, pp. 41-45.
  • “Climb to New Heights by Controlling your PLCs Over the Internet” by, Phillips et al., Intech, Aug. 1998, pp. 50-51.
  • “CompProcessor For Piezoresistive Sensors” MCA Technologies, Inc. (MCA7707), pp. 1-8.
  • “Ethernet emerges as viable, inexpensive fieldbus”, Paul G. Schreier, Personal Engineering, Dec. 1997, p. 23-29.
  • “Ethernet Rules Closed-loop System” by, Eidson et al., Intech, Jun. 1998, pp. 39-42.
  • “Fieldbus Standard for Use in Industrial Control Systems Part 2: Physical Layer Specification and Service Definition”, ISA-S50.02-1992, pp. 1-93.
  • “Fieldbus Standard for Use in Industrial Control Systems Part 3: Data Link Service Definition”, ISA-S50.02-1997, Part 3, Aug. 1997, pp. 1-159.
  • Fieldbus Standard For Use in Industrial Control Systems Part 4: Data Link Protocol Specification, ISA-S50.02-1997, Part 4, Aug. 1997, pp. 1-148.
  • “Fieldbus Support For Process Analysis” by, Blevins et al., Fisher-Rosemount Systems, Inc., 1995, pp. 121-128.
  • “Fieldbus Technical Overview Understanding FOUNDATION™ fieldbus technology”, Fisher-Rosemount, 1998, pp. 1-23.
  • “Hypertext Transfer Protocol -- HTTP/1.0” by, Berners-Lee et al., MIT/LCS, May 1996, pp. 1-54.
  • “Infranets, Intranets, and the Internet” by, Pradip Madan, Echelon Corp, Sensors, Mar. 1997, pp. 46-50.
  • “Internet Technology Adoption into Automation” by, Fondl et al., Automation Business, pp. 1-5.
  • “Internet Protocol Darpa Internet Program Protocol Specification” by, Information Sciences Institute, University of Southern California, RFC 791, Sep. 1981, pp. 1-43.
  • “Introduction to Emit”, emWare, Inc., 1997, pp. 1-22.
  • “Introduction to the Internet Protocols” by, Charles L. Hedrick, Computer Science Facilities Group, Rutgers University, Oct. 3, 1988, pp. 1-97.
  • “Is There A Future For Ethernet in Industrial Control?”, Miclot et al., Plant Engineering, Oct. 1988, pp. 44-46, 48, 50.
  • LFM/SIMA Internet Remote Diagnostics Research Project Summary Report, Stanford University, Jan. 23, 1997, pp. 1-6.
  • “Managing Devices with the Web” by, Howard et al., Byte, Sep. 1997, pp. 45-64.
  • “Modular Microkernel Links GUI And Browser For Embedded Web Devices” by, Tom Williams, pp. 1-2.
  • “PC Software Gets Its Edge From Windows, Components, and the Internet”, Wayne Labs, I&CS, Mar. 1997, pp. 23-32.
  • Proceedings Sensor Expo, Aneheim, California, Produced by Expocon Managemnet Associates, Inc., Apr. 1996, pp. 9-21.
  • Proceedings Sensor Expo, Boston, Massachuttes, Produced by Expocon Management Associates, Inc., May 1997, pp. 1-416.
  • “Smart Sensor Network of the Future” by, Jay Warrior, Sensors, Mar. 1997, pp. 40-45.
  • “The Embedded Web Site” by, John R. Hines, IEEE Spectrum, Sep. 1996, p. 23.
  • “Transmission Control Protocol: Darpa Internet Program Protocol Specification” Information Sciences Institute, Sep. 1981, pp. 1-69.
  • “On-Line Statistical Process Control for a Glass Tank Ingredient Scale,” by R.A. Weisman, IFAC real Time Programming, 1985, pp. 29-38.
  • “The Performance of Control Charts for Monitoring Process Variation,” by C. Lowry et al., Commun. Statis.—Simul., 1995, pp. 409-437.
  • “A Knowledge-Based Approach for Detection and Diagnosis of Out-Of-Control Events in Manufacturing Processes,” by P. Love et al., IEEE, 1989, pp. 736-741.
  • “Advanced Engine Diagnostics Using Universal Process Modeling”, by P. O'Sullivan, Presented at the 1996 SAE Conference on Future Transportation Technology, pp. 1-9.
  • Parallel, Fault-Tolerant Control and Diagnostics System for Feedwater Regulation in PWRS, by E. Eryurek et al., Proceedings of the American Power Conference.
  • “Programmable Hardware Architectures for Sensor Validation”, by M.P. Henry et al., Control Eng. Practice, vol. 4, No. 10., pp. 1339-1354, (1996).
  • “Sensor Validation for Power Plants Using Adaptive Backpropagation Neural Network,”IEEE Transactions on Nuclear Science, vol. 37, No. 2, by E. Eryurek et al. Apr. 1990, pp. 1040-1047.
  • “Signal Processing, Data Handling and Communications: The Case for Measurement Validation”, by M.P. Henry, Department of Engineering Science, Oxford University.
  • “Smart Temperature Measurement in the '90s”, by T. Kerlin et al., C&I, (1990).
  • “Software-Based Fault-Tolerant Control Design for Improved Power Plant Operation,” IEEE/IFAC Joint Symposium on Computer-Aided Control System Design, Mar. 7-9, 1994 pp. 585-590.
  • A Standard Interface for Self-Validating Sensors, by M. P. Henry et al., Report No. QUEL 1884/91, (1991).
  • “Taking Full Advantage of Smart Transmitter Technology Now,” by G. Orrison, Control Engineering, vol. 42, No. 1, Jan. 1995.
  • “Using Artificial Neural Networks to Identify Nuclear Power Plant States,” by Israel E. Alguindigue et al., pp. 1-4.
  • “Application of Neural Computing Paradigms for Signal Validation,” by B.R. Upadhyaya et al., Department of Nuclear Engineering, pp. 1-18.
  • “Application of Neural Networks for Sensor Validation and Plant Monitoring,” by B. Upadhyaya et al., Nuclear Technology, vol. 97, No. 2, Feb. 1992 pp. 170-176.
  • “Automated Generation of Nonlinear System Characterization for Sensor Failure Detection,” by B. R. Upadhyaya et al., ISA, 1989 pp. 269-274.
  • “In Situ Calibration of Nuclear Plant Platinum Resistance Thermometers Using Johnson Noise Methods,” EPRI, Jun. 1983.
  • “Johnson Noise Thermometer for High Radiation and High-Temperature Environments,” by L. Oakes et al., Fifth Symposium on Space Nuclear Power Systems, Jan. 1988, pp. 2-23.
  • “Development of a Resistance Thermometer For Use Up to 1600°C”, by M.J. de Groot et al., CAL LAB, Jul./Aug. 1996, pp. 38-41.
  • “Survey, Applications, And Prospects of Johnson Noise Thermometry,” by T. Blalock et al., Electrical Engineering Department, 1981 pp. 2-11.
  • “Noise Thermometry for Industrial and Metrological Applications at KFA Julich,” by H. Brixy et al., 7th International Symposium on Temperature, 1992.
  • “Johnson Noise Power Thermometer and its Application in Process Temperature Measurement,” by T.V. Blalock et al., American Institute of Physics 1982, pp. 1249-1259.
  • “Field-based Architecture is Based on Open Systems, Improves Plant Performance”, by P. Cleaveland, I&CS, Aug. 1996, pp. 73-74.
  • “Tuned-Circuit Dual-Mode Johnson Noise Thermometers,” by R. L. Shepard et al., Apr. 1992.
  • “Tuned-Circuit Johnson Noise Thermometry,” by Michael Roberts et al., 7th Symposium on Space Nuclear Power Systems, Jan. 1990.
  • “Smart Field Devices Provide New Process Data, Increase System Flexibility,” by Mark Boland, I&CS, Nov. 1994, pp. 45-51.
  • “Wavelet Analysis of Vibration, Part I: Theory1 ,” D.E. Newland, Journal of Vibration and Acoustics, vol. 116, Oct. 1994, pp. 409-416.
  • “Wavelet Analysis of Vibration, Part 2: Wavelet Maps,” by D.E. Newland, Journal of Vibration and Acoustics, vol. 116, Oct. 1994, pp. 417-425.
  • “Development of a Long-Life, High-Reliability Remotely Operated Johnson Noise Thermometer,” by R.L. Shepard et al., ISA, 1991, pp. 77-84.
  • “Application of Johnson Noise Thermometry to Space Nuclear Reactors,” by M.J. Roberts et al., Presented at the 6th Symposium on Space Nuclear Power Systems, Jan. 9-12, 1989.
  • “A Decade of Progress in High Temperature Johnson Noise Thermometry,” by T.V. Blalock et al., American Institute of Physics, 1982 pp. 1219-1223.
  • “Sensor and Device Diagnositics for Predictive and Proactive Maintenance”, by B. Boynton, A Paper Presented at the Electric Power Research Institute—Fossil Plant Maintenance Conference in Baltimore, Maryland, Jul. 29-Aug. 1, 1996, pp. 50-1-50-6.
  • “Detection of Hot Spots in Thin Metal Films Using an Ultra Sensitive Dual Channel Noise Measurement System,” by G.H. Massiha et al., Energy and Information Technologies in the Southeast, vol. 3 of 3, Apr. 1989, pp. 1310-1314.
  • “Detecting Blockage in Process Connections of Differential Pressure Transmitters”, by E. Taya et al., SICE, 1995, pp. 1605-1608.
  • “Development and Application of Neural Network Algorithms For Process Diagnostics,” by B.R. Upadhyaya et al., Proceedings of the 29th Conference on Decision and Control, 1990, pp. 3277-3282.
  • “A Fault-Tolerant Interface for Self-Validating Sensors”, by M.P. Henry, Colloquium, pp. 3/1-3/2 (Nov. 1990).
  • “Fuzzy Logic and Artificial Neural Networks for Nuclear Power Plant Applications,” by R.C. Berkan et al., Proceedings of the American Power Conference.
  • “Fuzzy Logic and Neural Network Applications to Fault Diagnosis”, by P. Frank et al., International Journal of Approximate Reasoning, (1997), pp. 68-88.
  • “Keynote Paper: Hardware Compilation—A New Technique for Rapid Prototyping of Digital Systems-Applied to Sensor Validation”, by M.P. Henry, Control Eng. Practice, vol. 3, No. 7., pp. 907-924, (1995).
  • “The Implications of Digital Communications on Sensor Validation”, by M. Henry et al., Report No. QUEL 1912/92, (1992).
  • “In-Situ Response Time Testing of Thermocouples”, ISA, by H.M. Hashemian et al., Paper No. 89-0056, pp. 587-593, (1989).
  • “An Integrated Architecture For Signal Validation in Power Plants,” by B.R. Upadhyaya et al., Third IEEE International Symposium on Intelligent Control, Aug. 24-26, 1988, pp. 1-6.
  • “Integration of Multiple Signal Validation Modules for Sensor Monitoring,” by B. Upadhyaya et al., Department of Nuclear Engineering, Jul. 8, 1990, pp. 1-6.
  • “Intelligent Behaviour for Self-Validating Sensors”, by M.P. Henry, Advances In Measurement, pp. 1-7, (May 1990).
  • “Measurement of the Temperature Fluctuation in a Resistor Generating 1/F Fluctuation,” by S. Hashiguchi, Japanese Journal of Applied Physics, vol. 22, No. 5, Part 2, May 1983, pp. L284-L286.
  • “Check of Semiconductor Thermal Resistance Elements by the Method of Noise Thermometry”, by A. B. Kisilevskii et al., Measurement Techniques, vol. 25, No. 3, Mar. 1982, New York, USA, pp. 244-246.
  • “Neural Networks for Sensor Validation and Plant Monitoring,” by B. Upadhyaya, International Fast Reactor Safety Meeting, Aug. 12-16, 1990, pp. 2-10.
  • “Neural Networks for Sensor Validation and Plantwide Monitoring,” by E. Eryurek, 1992.
  • “A New Method of Johnson Noise Thermometry”, by C.J. Borkowski et al., Rev. Sci. Instrum., vol. 45, No. 2, (Feb. 1974) pp. 151-162.
  • “Thermocouple Continuity Checker,” IBM Technical Disclosure Bulletin, vol. 20, No. 5, pp. 1954 (Oct. 1977).
  • “A Self-Validating Thermocouple,” Janice C-Y et al., IEEE Transactions on Control Systems Technology, vol. 5, No. 2, pp. 239-53 (Mar. 1997).
  • Instrument Engineers' Handbook, Chapter IV entitled “Temperature Measurements,” by T.J. Claggett, pp. 266-333 (1982).
  • “emWare's Releases EMIT 3.0, Allowing Manufacturers to Internet and Network Enable Devices Royalty Free,” 3 pages, PR Newswire (Nov. 4, 1998).
  • Warrior, J., “The IEEE P1451.1 Object Model Network Independent Interfaces for Sensors and Actuators,” pp. 1-14, Rosemount, Inc. (1997).
  • Warrior, J., “The Collision Between the Web and Plant Floor Automation,” 6Th. WWW Conference Workshop on Embedded Web Technology, Santa Clara, CA (Apr. 7, 1997).
  • Microsoft Press Computer Dictionary, 3rd Edition, p. 124.
  • “Internal Statistical Quality Control for Quality Monitoring Instruments”, by P. Girling et al., ISA, 15 pgs., 1999.
  • Web Pages from www.triant.com (3 pgs.).
  • “Statistical Process Control (Practice Guide Series Book)”, Instrument Society of America, 1995, pp. 1-58 and 169-204.
  • “Time-Frequency Analysis of Transient Pressure Signals for a Mechanical Heart Valve Cavitation Study,” ASAIO Journal, by Alex A. Yu et al., vol. 44, No. 5, pp. M475-M479, (Sep.-Oct. 1998).
  • “Transient Pressure Signals in Mechanical Heart Valve Caviation,” by Z.J. Wu et al., pp. M555-M561 (undated).
  • “Caviation in Pumps, Pipes and Valves,” Process Engineering, by Dr. Ronald Young, pp. 47 and 49 (Jan. 1990).
  • “Quantification of Heart Valve Cavitation Based on High Fidelity Pressure Measurements,” Advances in Bioengineering 1994, by Laura A. Garrision et al., BED-vol. 28, pp. 297-298 (Nov. 6-11, 1994).
  • “Monitoring and Diagnosis of Cavitation in Pumps and Valves Using the Wigner Distribution,” Hydroaccoustic Facilities, Instrumentation, and Experimental Techniques, NCA-vol. 10, pp. 31-36 (1991).
  • “Developing Predictive Models for Cavitation Erosion,” Codes and Standards in A Global Environment, PVP-vol. 259, pp. 189-192 (1993).
  • “Self-Diagnosing Intelligent Motores: A Key Enabler for Next Generation Manufacturing System,” by Fred M. Discenzo et al., pp. 3/1-3/4 (1999).
  • “A Microcomputer-Based Instrument for Applications in Platinum Resistance Thermomety,” by H. Rosemary Taylor and Hector A. Navarro, Journal of Physics E. Scientific Instrument, vol. 16, No. 11, pp. 1100-1104 (1983).
  • “Experience in Using Estelle for the Specification and Verification of a Fieldbus Protocol: FIP, ” by Barretto et al., Computer Networking, pp. 295-304 (1990).
  • “Computer Simulation of H1 Field Bus Transmission,” by Utsumi et al., Advances in Instrumentation and Control, vol. 46, Part 2, pp. 1815-1827 (1991).
  • “Progress in Fieldbus Developments for Measuring and Control Application,” by A. Schwaier, Sensor and Acuators, pp. 115-119 (1991).
  • “Ein Emulationssystem zur Leistungsanalyse von Feldbussystemen, Teil 1,” by R. Hoyer, pp. 335-336 (1991).
  • “Simulatore Integrato: Controllo su bus di camp,” by Barabino et al., Automazione e Strumentazione, pp. 85-91 (Oct. 1993).
  • “Ein Modulares, verteiltes Diagnose-Expertensystem für die Fehlerdiagnose in lokalen Netzen,” by Jürgen M. Schrödoer, pp. 557-565 (1990).
  • “Fault Diagnosis of Fieldbus Systems,” by Jürgen Quade, pp. 577-581 (Oct. 1992).
  • “Ziele und Anwendungen von Feldbussystemen,” by T. Pfeifer et al., pp. 549-557 (Oct. 1987).
  • “PROFIBUS Infrastructure Measures,” by Tilo Pfeifer et al., pp. 416-419 (Aug. 1991).
  • “Simulation the Time Behaviour of Fieldbus Systems,” by O. Schnelle, pp. 440-442 (1991).
  • “Modélisation et simulation d'un bus de terrain: FIP,” by Song et al, pp. 5-9 (undated).
  • “Field Bus Networks for Automation Systems Containing Intelligent Functional Unites,” by W. Kriesel et al., pp. 486-489 (1987).
  • “Field Buses for Process Interconnection with Digital Control Systems,” Tecnologia, pp. 141-147 (1990).
  • “Decentralised Systems with Real-Time Field Bus,” Netzwerke, Jg. Nr.3 v. 14.3, 4 pages (1990).
  • “Process Measurement and Analysis,” by Liptak et al., Instrument Engineers' Handbook, Third Edition, pp. 528-530, (1995).
  • “Improving Dynamic Performance of Temperature Sensors With Fuzzy Control Techniques,” by Wang Lei et al., pp. 872-873 (1992).
  • “Microsoft Press Computer Dictionary” 2nd Edition, 1994, Microsoft Press. p. 156.
  • Copy of International Search Report from Application Number PCT/US01/40791 with international filing date of May 22, 2001.
  • Copy of International Search Report from Application Number PCT/US01/40782 with international filing date of May 22, 2001.
  • Copy of International Search Report from Application Number PCT/02/14560 with international filing date of May 8, 2002.
  • Copy of International Search Report from Application Number PCT/US0214934 with international filing date of May 8, 2002.
  • “On-Line Tool Condition Monitoring System With Wavelet Fuzzy Neural Network,” by Li Xiaoli et al., pp. 271-276 (1997).
  • “Optimal Design of the Coils of An Electromagnetic Flow Meter,” by Michalski, A. et al., IEEE Transactions on Magnetics, vol. 34, Issue 5, Part 1, pp. 2563-2566 (1998).
  • “Magnetic Fluid Flow Meter for Gases,” Popa, N.C., IEEE Transactions on Magnetics, vol. 30, Issue 2, Part 1-2, pp. 936-938 (1993).
  • “New Approach to A Main Error Estimation for Primary Transducer of Electromagnetic Flow Meter,” by Michalski, A., IEEE Instrumentation and Measurement Technology Conference Proceedings, vol. 2, pp. 1093-1097 (1998).
  • “Additional Information From Flowmeters Via Signal Analysis,” by Amadi-Echendu, J.E. et al., IEEE Instrumentation and Measurement Technology Conference Record, vol. 7, pp. 187-193 (1990).
  • Copy of International Search Report from Application Number PCT/US02/06606 with international filing date of Mar. 5, 2002.
  • Copy of International Search Report from Application Number PCT/US02/30465 with international filing date of Sep. 25, 2002.
  • “What is a weighted moving average?”, DAU Stat Refresher, http://cne.gmu.edu/modules/dau/stat/mvavgs/wmabdy.html, (1995).
  • “Notification of Transmittal of The International Search Report and Written Opinion of the International Searching Authority, or the Declaration”, PCT/US2005/011385.
  • “Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority”, or the Declaration for PCT/US2004/017300.
  • “Notification of Transmittal of The International Search Report or the Declaration”, PCT/US2004/025291.
  • “Invitation to Pay.Additional Fees and Annex to Form PCT/ISA/206.”.
PatentsPlus Images
Enhanced PDF formats
loading...
PatentsPlus: add to cart
PatentsPlus: add to cart Search-enhanced full patent PDF image
$9.95 more info
PatentsPlus: add to cart
PatentsPlus: add to cart Intelligent turbocharged patent PDFs with marked up images
$16.95 more info
 
Sign In Register
Username  
Password   
forgot password?