JPH04238224A - Plant diagnostic device - Google Patents

Plant diagnostic device

Info

Publication number
JPH04238224A
JPH04238224A JP3005779A JP577991A JPH04238224A JP H04238224 A JPH04238224 A JP H04238224A JP 3005779 A JP3005779 A JP 3005779A JP 577991 A JP577991 A JP 577991A JP H04238224 A JPH04238224 A JP H04238224A
Authority
JP
Japan
Prior art keywords
neural network
pattern
plant
reference pattern
learning
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.)
Withdrawn
Application number
JP3005779A
Inventor
Masahiro Horiguchi
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 JP3005779A priority Critical patent/JPH04238224A/en
Publication of JPH04238224A publication Critical patent/JPH04238224A/en
Withdrawn legal-status Critical Current

Links

Abstract

PURPOSE: To improve noise resistance, reduce the memory capacity, and allow high-speed processing by using a neural network when the state of a plant is diagnosed from the pattern of the process signal of the plant.
CONSTITUTION: The transient pattern patterned 3 from the process signal inputted 2 from a plant 11 is compared with the load data of a neural network generated by a neural network calculation section 21 by the reference pattern learning in advance to estimate the abnormal position of the plant 11. An abnormal position information output section 5 retrieves the abnormality cause corresponding to the transient pattern and the apparatus name among the items assumed when the reference pattern is generated based on the estimated data and outputs them as the diagnostic information. The pattern comparison utilizing the characteristic of the neural network is performed. The data of the reference pattern are used in the form of the load data obtained by the learning of the neural network, and high-speed processing can be performed with a small memory capacity.
COPYRIGHT: (C)1992,JPO&Japio
JP3005779A 1991-01-22 1991-01-22 Plant diagnostic device Withdrawn JPH04238224A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP3005779A JPH04238224A (en) 1991-01-22 1991-01-22 Plant diagnostic device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP3005779A JPH04238224A (en) 1991-01-22 1991-01-22 Plant diagnostic device

Publications (1)

Publication Number Publication Date
JPH04238224A true JPH04238224A (en) 1992-08-26

Family

ID=11620599

Family Applications (1)

Application Number Title Priority Date Filing Date
JP3005779A Withdrawn JPH04238224A (en) 1991-01-22 1991-01-22 Plant diagnostic device

Country Status (1)

Country Link
JP (1) JPH04238224A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010191556A (en) * 2009-02-17 2010-09-02 Hitachi Ltd Abnormality detecting method and abnormality detecting system
JP2016224913A (en) * 2015-05-27 2016-12-28 タタ コンサルタンシー サービシズ リミテッドTATA Consultancy Services Limited Artificial intelligence-based health management of host system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010191556A (en) * 2009-02-17 2010-09-02 Hitachi Ltd Abnormality detecting method and abnormality detecting system
JP2016224913A (en) * 2015-05-27 2016-12-28 タタ コンサルタンシー サービシズ リミテッドTATA Consultancy Services Limited Artificial intelligence-based health management of host system

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Legal Events

Date Code Title Description
A300 Withdrawal of application because of no request for examination

Free format text: JAPANESE INTERMEDIATE CODE: A300

Effective date: 19980514