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

Industrial process surveillance system

Patent 5764509 Issued on June 9, 1998. Estimated Expiration Date: Icon_subject June 19, 2016. 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

Apparatus for measuring the degradation of a sensor time constant
Patent #: 4295128
Issued on: 10/13/1981
Inventor: Hashemian ,   et al.

Guide path short detector
Patent #: 4975685
Issued on: 12/04/1990
Inventor: Rahhal

Expert system for surveillance, diagnosis and prognosis of plant operation
Patent #: 5009833
Issued on: 04/23/1991
Inventor: Takeuchi, et al.

Expert system for online surveillance of nuclear reactor coolant pumps
Patent #: 5223207
Issued on: 06/29/1993
Inventor: Gross, et al.

Method for recognition of abnormal conditions using neural networks
Patent #: 5402521
Issued on: 03/28/1995
Inventor: Niida, et al.

Processing data base information having nonwhite noise
Patent #: 5410492
Issued on: 04/25/1995
Inventor: Gross, et al.

System for monitoring an industrial process and determining sensor status
Patent #: 5459675
Issued on: 10/17/1995
Inventor: Gross, et al.

Surveillance of industrial processes with correlated parameters Patent #: 5586066
Issued on: 12/17/1996
Inventor: White, et al.

Inventors

Assignee

Application

No. 666938 filed on 06/19/1996

US Classes:

700/29, Having model700/44, Feed-forward (e.g., predictive)706/15, NEURAL NETWORK706/45, KNOWLEDGE PROCESSING SYSTEM706/47Ruled-based reasoning system

Examiners

Primary: Elmore, Reba I.
Assistant: Patel, Ramesh

Attorney, Agent or Firm

International Class

G05B 013/04

Abstract

A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

PatentsPlus Images
Enhanced PDF formats
loading...
PatentsPlus: add to cart
PatentsPlus: add to cartSearch-enhanced full patent PDF image
$9.95more info
PatentsPlus: add to cart
PatentsPlus: add to cartIntelligent turbocharged patent PDFs with marked up images
$16.95more info
 
Sign InRegister
Username  
Password   
forgot password?