Main shaft bearing and cutter composite fault diagnosis method based on multiple labels and multiple classifications

Abstract

The invention discloses a main shaft bearing and cutter composite fault diagnosis method and system based on multiple labels and multiple classifications, and belongs to the technical field of machine tool main shaft fault diagnosis. The method comprises: marking collected vibration signals during the machining of a machine tool main shaft in a mode that one sample corresponds to a plurality of fault labels; inputting the marked multi-label samples into a multi-label multi-classification model to obtain the probability of each fault classification; and calculating a loss function of the multi-label multi-classification model based on the probability of each fault classification, training the multi-label multi-classification model by using the loss function, and realizing compound fault diagnosis of the machine tool main shaft by using the trained multi-label multi-classification model. Therefore, the number of health conditions during sample marking can be reduced, and the complexity of problems and the calculation amount of model training can be reduced. In addition, the invention further provides a health index weighted calculation method, which considers the influence degree of different parts on the performance of the machine tool main shaft, and is more comprehensive, scientific and reliable in the evaluation result.

Description

technical field [0001] The invention belongs to the technical field of machine tool spindle fault diagnosis, and more specifically relates to a method and system for composite fault diagnosis of spindle bearings and tools based on multi-label and multi-classification. Background technique [0002] Machine tools are indispensable equipment in intelligent manufacturing systems. Among them, the machine tool spindle is the axis that drives the workpiece or tool to rotate, and the manufacturing performance of the machine tool is closely related to the quality of the machine tool spindle. Due to the complex environment of the industrial site, multiple faults may exist at the same time during the machining process of the machine tool spindle, that is, compound faults occur. Maintenance personnel need to consider the health of multiple components when monitoring the fault conditions of the machine tool spindle. If the failure of the machine tool spindle cannot be diagnosed in time,...

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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a multi-label and multi-classification based spindle bearing and tool composite fault diagnosis method and system, aiming to solve the shortcomings of the single-label multi-classification model in complex industrial sites

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