Fault diagnosis method for rotary mechanical equipment and system thereof

Abstract

The invention provides a fault diagnosis method for rotary mechanical equipment and a system thereof. The method comprises the following steps: extracting time domain feature data, frequency domain feature data and time-frequency domain feature data of an original vibration signal of to-be-diagnosed equipment; performing curve secondary coding on the time-frequency domain characteristic data; calculating the distance between the curve secondary coding sequence and a plurality of training sample clustering centers of known fault types, and obtaining multi-dimensional distance feature data of the original vibration signal; and inputting the time domain feature data, the frequency domain feature data and the distance feature data of the original vibration signal of the to-be-diagnosed equipment into the trained fault diagnosis model to obtain the fault type of the to-be-diagnosed equipment. According to the method, secondary coding is carried out on the time-frequency domain feature data of the vibration signal of the equipment to be diagnosed to obtain high-order coding features, so that richer feature information is obtained, and the extracted features can reduce the influence of learning algorithm parameters on the fault recognition rate.

Description

technical field [0001] The present invention relates to the field of fault diagnosis of mechanical equipment, and more particularly, to a method and system for fault diagnosis of rotating mechanical equipment. Background technique [0002] With the development of modern industrial process, rotating machinery equipment has become one of the most widely used industrial machinery equipment, which widely exists in large and medium-sized mechanical devices, such as steam turbines, generators, aero engines, steam turbines, etc. Due to the complex operating environment of rotating machinery and its own aging, it is inevitable that there will be failures, which will affect the normal production of the enterprise at least, and threaten the personal safety of workers at the worst. [0003] Due to the wide application and importance of rotating machinery, people have higher and higher requirements for its reliability. The occurrence of rotating machinery failures usually follows a spe...

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Problems solved by technology

[0004] In the traditional fault diagnosis method of rotating machinery, it mainly relies on the rich experience of engineers to analyze the information contained in the signal characteristics, so as to diagnose the fault. The method is time-consuming and labor-intensive, and there are still great uncertainties

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