Increment compensation dynamic adaptive enhancement-based fault diagnosis method

Abstract

The invention discloses an increment compensation dynamic adaptive enhancement-based fault diagnosis method. The method comprises the following steps of 1, collecting vibration signals in various states for a vibration sensor at a driving end of a motor; 2, preprocessing fault data of a bearing device; 3, adding a training sample into a random noise to serve as an input of a denoising autocoder to perform unsupervised greedy layer-by-layer pre-training; 4, when new device state data exists, performing new fault mode extraction by using an existing trained DAE model, performing similar mode comparison by utilizing a mode similarity algorithm, performing increment combination on new fault modes by adopting an increment active fusion algorithm, and calculating dynamic weighting by utilizing a weight dynamic compensation algorithm; 5, training an SVM classifier by taking labeled fault data and unlabeled fault data subjected to dynamic deep learning training weighting as input vectors; 6, performing global fine adjustment on related parameters in the whole model by utilizing a BP algorithm; and 7, performing classification diagnosis of fault types.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of bearing equipment, in particular to a fault diagnosis method based on incremental compensation and dynamic self-adaptive enhancement. Background technique [0002] The core of "Industry 4.0" is intelligent manufacturing, which is the deep integration of information technology and intelligent technology, and is an important symbol to measure the degree of national industrial modernization. At present, Western countries still restrict exports to my country in terms of high-end equipment technology. Breakthroughs in key technologies such as intelligent maintenance of equipment are an important way to improve the level of international division of labor and the right to speak. Research hotspots. [0003] With the development of industrial Internet of Things and information technology, it is becoming easier and easier to obtain operating status data in the production process, making the data...

AI Technical Summary

Problems solved by technology

However, due to the massive and multi-source characteristics of the incremental data stream of advanced equipment in recent years, especially due to the high reliability of intelligent equipment, although the amount of newly generated state data is huge, the number of fault samples in the new data is insufficient. and f

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