JPH03235027A - Abnormality detecting apparatus - Google Patents

Abnormality detecting apparatus

Info

Publication number
JPH03235027A
JPH03235027A JP3082390A JP3082390A JPH03235027A JP H03235027 A JPH03235027 A JP H03235027A JP 3082390 A JP3082390 A JP 3082390A JP 3082390 A JP3082390 A JP 3082390A JP H03235027 A JPH03235027 A JP H03235027A
Authority
JP
Japan
Prior art keywords
value
signals
change
time
predicting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP3082390A
Inventor
Shigeru Matsumoto
Original Assignee
Toshiba Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Toshiba Corp filed Critical Toshiba Corp
Priority to JP3082390A priority Critical patent/JPH03235027A/en
Publication of JPH03235027A publication Critical patent/JPH03235027A/en
Application status is Granted legal-status Critical

Links

Abstract

PURPOSE: To detect the change of acoustic signals separately from the stationary change accompanying the operation of plant equipments thereby to improve the detecting accuracy by identifying the catching acoustic signals with an auto-regressive model in the form of a plurality of time series data of different lengths of the storing time.
CONSTITUTION: A sound processor 9 changes sound signals obtained through a microphone 3 into digital signals which are taken into an input part 10 and processed in an operating part 11. As a result, whether an equipment which is a target to be monitored is normal or abnormal is judged. The judging result is output from an output part 12 and displayed at 13. According to a self- regression analysis function, the signals are identified with an auto-regressive model 24 to estimate a predicting value 25 at a next sampling time point T+ΔT and a variance value 26 of white noise components attributing the predicting value 25. Further, the residual between the predicting value 25 and an actually- measured value 27 after another sampling is calculated and then compared with the variance value 26. A probability when the actually-measured value 27 is regarded as outside the change at the normal time is calculated as the degree of reliability for judgement of abnormality.
COPYRIGHT: (C)1991,JPO&Japio
JP3082390A 1990-02-09 1990-02-09 Abnormality detecting apparatus Granted JPH03235027A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP3082390A JPH03235027A (en) 1990-02-09 1990-02-09 Abnormality detecting apparatus

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP3082390A JPH03235027A (en) 1990-02-09 1990-02-09 Abnormality detecting apparatus

Publications (1)

Publication Number Publication Date
JPH03235027A true JPH03235027A (en) 1991-10-21

Family

ID=12314425

Family Applications (1)

Application Number Title Priority Date Filing Date
JP3082390A Granted JPH03235027A (en) 1990-02-09 1990-02-09 Abnormality detecting apparatus

Country Status (1)

Country Link
JP (1) JPH03235027A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007040713A (en) * 2005-07-29 2007-02-15 Central Res Inst Of Electric Power Ind Soundness diagnosis method and soundness diagnosis program of building based on microtremor measurement
JP2009041978A (en) * 2007-08-07 2009-02-26 Applied Research Kk Integrity diagnostic method by tap tone analysis
JP2013205048A (en) * 2012-03-27 2013-10-07 Tokyo Metropolitan Sewerage Service Corp Method for diagnosing soundness of rotary machine
WO2018230645A1 (en) * 2017-06-14 2018-12-20 株式会社東芝 Anomaly detection device, anomaly detection method, and program

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007040713A (en) * 2005-07-29 2007-02-15 Central Res Inst Of Electric Power Ind Soundness diagnosis method and soundness diagnosis program of building based on microtremor measurement
JP2009041978A (en) * 2007-08-07 2009-02-26 Applied Research Kk Integrity diagnostic method by tap tone analysis
JP4598809B2 (en) * 2007-08-07 2010-12-15 アプライドリサーチ株式会社 Soundness diagnosis method by tapping sound analysis
JP2013205048A (en) * 2012-03-27 2013-10-07 Tokyo Metropolitan Sewerage Service Corp Method for diagnosing soundness of rotary machine
WO2018230645A1 (en) * 2017-06-14 2018-12-20 株式会社東芝 Anomaly detection device, anomaly detection method, and program

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