Malfunction alarm method based on piston rod vibration dynamic energy index

Abstract

The invention relates to a malfunction alarm method based on piston rod vibration dynamic energy index. The method includes the following steps: establishing a piston rod axle center displacement locus square, using a normal piston rod displacement to monitoring signals, calculating to acquire a piston rod axle center displacement locus, and extracting a piston rod axle center vibration energy index and a locus area. According to the invention, the method is directed at typical malfunctions, such as supporting ring wear, piston rod fastening bolt loosening and piston rod fracture, based on piston rod axle center vibration energy index, can effectively overcome detects of response delay and poor sensitivity of malfunction alarm in normal displacement monitoring, and has better practical application.

Description

technical field [0001] The invention relates to a fault alarm method based on the vibration dynamic energy index of a piston rod. Background technique [0002] Piston rod fracture is one of the vicious failures of reciprocating compressors, which will lead to cylinder collision, body damage, and gas leakage; Leading to the occurrence of fire and explosion accidents, which seriously threatens the safe and stable production of enterprises; at present, the compressors of relevant domestic petroleum and chemical enterprises generally lack vibration and displacement monitoring methods, relying on manual inspections, and backward monitoring and diagnosis methods of listening, watching, and touching cannot avoid pistons. The occurrence of rod breakage makes it impossible to stop in time after the fault occurs to avoid further deterioration of the fault; [0003] In the research on reciprocating mechanical faults at home and abroad, most researchers focus on fault intelligent diagn...

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Problems solved by technology

[0002] Piston rod fracture is one of the vicious failures of reciprocating compressors, which will lead to cylinder collision, body damage, and gas leakage; Leading to the occurrence of fire and explosion accidents, which seriously threatens the safe and stable production of enterprises; at present, the compressors of relevant domestic petroleum and chemical enterprises generally lack vibration and displacement monitoring methods, relying on manual inspections, and backward monitoring and diagnosis methods of listening, watching, and touching cannot avoid pistons. The occurrence of rod breakage makes it impossible to stop in time after the fault occurs to avoid further deterioration of the fault;

[0003] In the research on reciprocating mechanical faults at home and abroad, most researchers focus on fault intelligent diagnosis and feature extraction methods, such as artificial neural network, support vector machine and other related intelligent algorithms are successively applied to the fault analysis of reciprocating compressors and their auxiliary equipment Diagnosis, research related to piston rod fracture and fatigue failure is mainly aimed at finding the cause of failure in the aspects of crack morphology analysis, metallographic analysis, and material processing after piston rod fracture. On the other hand, it is because the early features of cracks are weak and difficult to extract, especially for complex load forms such as reciprocating compressors; at present, a small number of reciprocating compressors in China have installed online monitoring and diagnosis systems, and the monitoring of piston rods focuses on displacement. The magnitude and trend of DC flow, monitoring the longitudinal sinking and lateral displacement of the piston rod; in actual monitoring, only monitoring the displacement DC flow signal cannot achieve effective early warning of fracture faults; the research on new fault feature extraction and diagnosis methods has urgent applications need;

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