Method for analyzing the signals of a danger alarm system and danger alarm system for implementing said method

Patent 6011464 Issued on January 4, 2000. Estimated Expiration Date:

September 30, 2018. 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.

Abstract Claims Description Full Text

Patent References

Method of detecting a fire of open uncontrolled flames
Patent #: 4866420
Issued on: 09/12/1989
Inventor: Meyer, Jr.

Method and detector for detecting a flame
Patent #: 5594421
Issued on: 01/14/1997
Inventor: Thuillard

Intrusion alarm with independent trouble evaluation
Patent #: 5793288
Issued on: 08/11/1998
Inventor: Peterson, et al.

Method and apparatus for analyzing an image to detect and identify defects Patent #: 5815198
Issued on: 09/29/1998
Inventor: Vachtsevanos, et al.

Inventor

Thuillard, Marc Pierre

Application

No. 077106 filed on 09/30/1998

US Classes:

340/506, Alarm system supervision340/511, Threshold or window (e.g., of analog electrical level)340/577, Flame340/578, By radiant energy340/657, Electrical characteristic706/8Fuzzy inference processing

Examiners

Primary: Crosland, Donnie L.

Attorney, Agent or Firm

Baker & Botts, LLP

Foreign Patent References

718814 EP. 06/23/1996
706142 EP. 10/23/1996

International Class

G08B 029/00

Foreign Application Priority Data

1996-10-04 EP

Abstract

In a method for frequency analysis of a signal of a hazard detector, wavelet transformation is combined with fuzzy logic analysis. In the transformation, based on orthonormal or semi-orthonormal wavelets, an original signal is fed to a multi-stage filter cascade of pairs of high-pass/low-pass filters. From the output of the high-pass filter, wavelet coefficients and values of the original signal, each filter stage produces an association function. The functions are normalized and analyzed further in accordance with fuzzy logic rules. The method is particularly suitable for analyzing signals from flame detectors, noise detectors and the like. As processor code for transformation and analysis is kept short, high speed and accuracy are achieved at low cost.

Other References

Mufti M et al., "Automated Fault Detection and Identification Using a Fuzzy-Wavelet Analysis Technique", Conference Record Autotestcon '95, Atlanta, Aug. 8-10, 1995; vol. 31, Aug. 8, 1995, Institute of Electrical and Electronics Engineers, pp. 169-175, XP000555102, at pp. 170-171, Fig.