A method for identifying and diagnosing faults of a gear with single tooth cracks and broken teeth

Abstract

The invention relates to a method for recognizing and diagnosing a single-tooth crack or breakage fault of a gear. According to the invention, a sensor used for detecting the fault impact and a corresponding detection instrument connected with the sensor are used, resonance demodulation data obtained by performing resonance demodulation conversion on the impact by the corresponding detection instrument is collected in the operating process of the gear; and a single-tooth fault is recognized through frequency-domain analysis, and then level difference compensation and correction are performed on the fault level difference AdBC outputted according to a decision of the corresponding detection instrument. The single-tooth crack fault or breakage fault type of the gear can be accurately recognized from complex and powerful noise background signals, the recognition and diagnosis accuracy is high, and the consequence caused by expansion of the single-tooth fault of the gear is effectively avoided; and the compensated and corrected recognition and diagnosis result well corresponds to the severity of the actual fault, thereby having a great contribution to the formulation of a scientific maintenance decision.

Description

technical field [0001] The invention belongs to the field of state monitoring and fault diagnosis of rotating machinery, and in particular relates to a method for identifying and diagnosing faults of single tooth cracks and broken teeth of gears. Background technique [0002] Gear is an important part of power transmission in rotating machinery equipment. Gear transmission has the characteristics of stability, reliability and high efficiency. It is usually used in many mechanical equipment in the form of gearbox, such as transportation, petroleum, chemical industry, shipbuilding, metallurgy, aerospace and other fields . Gears transmit torque by reciprocating motion during operation, and most of them work under complex working conditions such as heavy load, impact, and variable load in large mechanical equipment, so they are more prone to failure. Statistics show that 80% of the faults in the gear transmission system are caused by the gears, and the gear faults in the rotati...

AI Technical Summary

Problems solved by technology

These methods have certain shortcomings and deficiencies in the processing of gear vibration signals, such as the difficulties faced by wavelet analysis when selecting a suitable wavelet basis function; the problems of endpoint effects and negative frequencies in the EMD method

Especially in engineering application practice, there is still a large distance between the characteristic parameters that characterize faults obtained by these methods and the scientific guidance of maintenance.

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