Fault tree diagnosis method for typical fault of reciprocating compressor coupled to triangular fuzzy number

Abstract

The invention relates to a fault tree diagnosis method for a typical fault of a reciprocating compressor coupled to a triangular fuzzy number. The method comprises the steps of (1) classifying variousfault types with each key component as a research object according to an operating mechanism of the reciprocating compressor, and establishing a fault tree of the reciprocating compressor typical fault, (2) establishing a minimum cut set of top-level events according to the logic relationship of upper and lower events of the fault tree, (3) determining the probability of occurrence of fault treetop-level events and each node layer event by combining the triangular fuzzy number, and (4) judging the location of a key component of a compressor fault according to measured data of characteristicparameters and according to the logic relationship and outputting a fault mode. According to the method, the probability that a triangular fuzzy function expresses a fault event is integrated into a fault tree diagnosis method, a multi-factor feature causing the fault is reflected, and probability assignment is allowed to have a certain degree of error. The method has the advantages of convenientapplication, high diagnostic accuracy and high reliability.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis methods for reciprocating compressors, in particular to a fault tree diagnosis method and measurement method for typical faults of reciprocating compressors coupled with triangular fuzzy numbers. 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. [0003] Traditional fault diagnosis methods for reciprocating compressors include vibration analysis, oil analysis, and pressure analysis. For the vibration analysis method, since the reciprocating compress...

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Problems solved by technology

For the vibration analysis method, since the reciprocating compressor has many vibration excitation sources and many moving parts, the vibration energy between the various parts can be transferred to each other, it is difficult to accurately locate the fault location and the cause of the fault only by vibration analysis

The oil analysis method can only diagnose the wear fault of the lubricating oil lubrication part, and the effect on other faults is not obvious

However, the pressure analysis method can only preliminarily judge whether the process quantity is stable, and it is difficult to obtain accurate diagnosis results for specific faults.

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