Reciprocating-type compressor fault diagnosis method based on multi-sensor information fusion

A fault diagnosis and multi-sensor technology, applied in the direction of machines/engines, liquid variable displacement machinery, mechanical equipment, etc., can solve the problem that multi-sensor information fusion technology has not been well applied

Active Publication Date: 2013-06-12
BEIJING UNIV OF CHEM TECH
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  • Abstract
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  • Claims
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Problems solved by technology

However, for large and complex units, such as large centrifugal compressors, reciprocating compressors, gas turbines, etc., multi-sensor information fusion technology is still not well applied

Method used

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  • Reciprocating-type compressor fault diagnosis method based on multi-sensor information fusion
  • Reciprocating-type compressor fault diagnosis method based on multi-sensor information fusion
  • Reciprocating-type compressor fault diagnosis method based on multi-sensor information fusion

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Embodiment Construction

[0044] The fault diagnosis method of the present invention will be further introduced below in conjunction with the accompanying drawings.

[0045] Such as figure 1 , 2 Shown, flow process of the present invention mainly comprises:

[0046] 1. Collect data

[0047] The corresponding fault data is collected through the reciprocating compressor test bench and the reciprocating compressor fault diagnosis and online condition monitoring system. The signal data collected by the sensor mainly includes piston rod settlement data, cylinder vibration data, crankcase vibration data and valve temperature data.

[0048] 2. Construct fault feature subspace and fault space

[0049] Firstly, the collected data is processed to a certain extent, and some corresponding characteristic parameters are extracted, and then these characteristic parameters are used to classify and combine into three fault characteristic subspaces, namely S1, S2, and S3.

[0050] Trend data fault feature subspac...

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Abstract

The invention discloses a reciprocating-type compressor fault diagnosis method based on multi-sensor information fusion, and the method is characterized by comprising the following steps of 1, collecting data; 2, constructing a fault characteristic sub-space and a fault space; 3, obtaining a fault diagnosis network; 4, acquiring characteristic fusion diagnosis results; and 5, carrying out D-S evidence theory decision-level fusion diagnosis, and giving out a decision-level diagnosis result. The method has the advantages of convenience in application, high diagnosis accuracy and applicability to a production site of reciprocating-type compressors of petroleum chemical industrial enterprises.

Description

technical field [0001] The invention belongs to the field of equipment fault diagnosis, and relates to a fault analysis and diagnosis method for a reciprocating compressor, in particular to a fault monitoring and diagnosis method for a reciprocating compressor based on multi-sensor information fusion. Background technique [0002] Reciprocating compressors are key units in process industry enterprises, especially in oil refining, chemical industry, and gas pipeline industries. Due to the complex structure, many vibration excitation sources, strong fault correlation, low unit fault diagnosis accuracy, and frequent major safety accidents, how to improve the accuracy of reciprocating compressor fault diagnosis has always been a difficulty for enterprise equipment managers. research hotspots. At present, more and more reciprocating compressors have installed online monitoring systems, but how to effectively use the online monitoring system to improve the fault diagnosis rate of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F04B51/00
Inventor 江志农靳梦宇张明张进杰胡敬芬
Owner BEIJING UNIV OF CHEM TECH
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