Rotary machine failure intelligent diagnosis method and device

A technology of intelligent diagnosis and rotating machinery, applied in the direction of measuring devices, machine/structural component testing, instruments, etc., can solve the problems of poor flexibility of man-machine interface, lack of artificial intelligence, lack of intelligent diagnosis function, etc., to achieve automation , the effect of ambiguity fault tolerance
CN1514209AInactive Publication Date: 2004-07-21CHONGQING UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CHONGQING UNIV
Publication Date
2004-07-21
Estimated Expiration
Not applicable · inactive patent

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Abstract

The system comprises preprocessing board connecting key phase signal to fast signal, key phase board controlling whole period of sampling, high speed collecting board for vibration signal, low speed data collecting board for graded signal. In the method, they are connected to down level server to fulfil data collection, signal analysis, and automatic identification as well as picking up characteristic parameters of operatino of machine set and down level server can make high speed communication with up level server through network card or IP protocol as up level server is equipped with an intelligent reasoning machine integrating professional knowledge rule, fuzzy logic and neural network in one component to carry trend prediction and intelligent diagnosis for operation and failure of machine.
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Description

Technical field:

[0001] The invention relates to an intelligent fault diagnosis method and device for rotating machinery. Background technique:

[0002] With the rapid development of science and technology, large-scale rotating mechanical equipment such as steam turbines, generators, blowers, and compressors are becoming larger, faster, and more complex, and the possibility or probability of failure increases. Therefore, it is of great practical significance to predict the deterioration trend of rotating machinery equipment in time, carry out intelligent diagnosis and prediction of faults and deal with them quickly, and gradually realize remote diagnosis.

[0003] At present, foreign fault diagnosis systems include CSI2115 / 1900 / 2000 from CSI, CMVA40 / 20 / 10 from SKF-CM, Suapshot from Bently, data PAC1500 from Entek-IRD, EDL (EMONITOR dataline), EBL (EMONITOR, baseline ) HP3560A of HP Company, BK2515 of Danish B&K Company, and PL22 / 202 / 302 online diagnostic system of British D...

Claims

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