Key-phase-free angular domain period segmentation method for reciprocating compressor signal

Abstract

The invention discloses a key-phase-free angular domain period segmentation method for a reciprocating compressor signal, and belongs to the technical field of reciprocating compressor fault diagnosis. According to the method, in order to solve the problem that fault diagnosis analysis cannot be carried out due to the fact that key phase signals are abnormal or even lost in actual reciprocating compressor online monitoring, signal full-period interception is completed by excavating effective information inside the signal. The method comprises the following steps of 1) obtaining a vibration signal and converting into an image; 2) determining the size of an interception window; 3) identifying air valve opening impact; and 4) calculating a phase of air valve opening and intercepting whole-period signals. According to the method, full-period re-segmentation is carried out on collected original signals of a compressor under the condition that a key phase sensor is not installed or the key phase sensor breaks down, while the high cost of key phase equipment is saved, the problems that an online monitoring system cannot conduct effective diagnosis and an air flow regulation and control system fails due to monitoring equipment faults are avoided, and the reliability of a compressor monitoring regulation and control system is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of reciprocating compressors, and relates to a periodic segmentation method based on a mechanism model and image similarity recognition technology without a bonded phase angle domain. The original signal of the compressor is re-divided for the whole cycle, which is convenient for subsequent gas volume adjustment and fault diagnosis. Background technique [0002] The reciprocating compressor is a general-purpose core power device widely used in petrochemical and other industries. Safe production, energy saving and consumption reduction are the long-term needs of enterprise compressor equipment. On-line monitoring, diagnosis and optimal regulation are important for compressor equipment. Sex speaks for itself. The basis of monitoring and diagnosis technology and optimal control technology is the acquisition of equipment status signals, and sensors are the main tools for acquiring status sign...

AI Technical Summary

Problems solved by technology

The reciprocating compressor diagnostic system usually installs the key photo on the flywheel position by cranking. Although the key phase sensor is not greatly affected by the vibration of the fuselage and the failure rate of the sensor itself is low, due to the short maintenance cycle of the compressor, it is difficult to It is easy to cause the key phase sensor to be misplaced or even the key phase sticking block to fall off; on the other hand, due to the change in the installation angle of the flywheel or coupling after the reciprocating compressor is overhauled, the key photo will deviate between the position of the flywheel and the position of the top dead center of the piston. These will lead to abnormal key phase signal

[0004] Once the key phase sensor and signal path fail, the online monitoring system will not be able to perform effective diagnosis and the gas volume control system will fail

In addition, because its installation position is close to the flywheel and it is an explosion-proof charged component, the key phase sensor cannot be disassembled and replaced immediately when it fails. It must be completely shut down and the cabinet is powered off before maintenance and replacement can be performed. Reliable application of technical systems poses great difficulties

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