A multi-fault diagnosis method for complex equipment based on DNN

Abstract

The invention provides a multiple fault diagnosis method of complex equipment based on DNN, which comprises the following steps: 1, collecting multiple fault logs of the equipment, and counting and summarizing fault information; 2. relying on expert knowledge to locate the root cause of multiple faults; 3, integrating the log information according to the time characteristic to obtain a time sequence data set; 4, preprocessing the time series data set; 5, numerically quantizing the data set; using word embedding as the first layer network of DNN; adding Dropout after the network layer; 6, establishing an LSTM network layer; 7, establishing an MLP network layer; 8, setting the learning parameters of DNN; 9, dividing the data set; 10,learning and testing DNN by using partitioned datasets. Theinvention processes the multiple fault logs to obtain the sequential data set, and establishes a DNN model including a word embedded network layer, an LSTM network layer and an MLP network layer; After the data sets are partitioned, the DNN is learned by batch training data sets and verification data sets, and the accuracy of DNN in identifying root causes of failure is evaluated by test data sets.

Description

technical field [0001] The invention provides a DNN-based multiple fault diagnosis method for complex equipment, which relates to the realization of a DNN-based multiple fault diagnosis method for complex equipment, and belongs to the fields of complex equipment reliability and complex equipment fault diagnosis. Background technique [0002] With the rapid development of industrial technology, the functions of modern equipment are becoming more and more powerful, and their scale and complexity are also increasing. If equipment failure or safety hazards cannot be diagnosed in time and treated effectively, it will lead to disastrous consequences. Usually, complex equipment is composed of a large number of components, and these components have complex and numerous coupling relationships during operation. The failure of a single or a small number of components will propagate through the coupling relationship between components, resulting in a chain effect and evolving into a larg...

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Problems solved by technology

[0002] With the rapid development of industrial technology, the functions of modern equipment are becoming more and more powerful, and their scale and complexity are also increasing. If equipment failure or safety hazards cannot be diagnosed in time and effectively dealt with, it will lead to disastrous consequences.

Usually, complex equipment is composed of a large number of components, and these components have complex and numerous coupling relationships during operation. The failure of a single or a small number of components will propagate through the coupling relationship between components, resulting in a chain effect and evolving into a large wide range of failures, eventually resulting in the overall collapse of the system

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