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Large-scale rotary unit fault diagnosis method and device

A fault diagnosis and unit technology, applied in the field of fault diagnosis, can solve the problems of inaccurate diagnosis results, lack of fault diagnosis methods and devices for large-scale rotary units, and low diagnostic efficiency, achieving high diagnostic efficiency, fast algorithm convergence, and high accuracy Effect

Pending Publication Date: 2021-03-05
HRG INT INST FOR RES & INNOVATION
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the prior art lacks a fault diagnosis method and device suitable for large-scale rotary units, the diagnosis result is not accurate enough, and the diagnosis efficiency is not high

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  • Large-scale rotary unit fault diagnosis method and device

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Embodiment 1

[0055] Such as figure 1 with figure 2 As shown, a large-scale rotary unit fault diagnosis method, the method includes:

[0056] The upper computer obtains the information selected by the user, and judges the diagnostic model that needs to be called according to the information selected by the user. The real-time data collected by the sensor is input to the upper computer after data preprocessing. The real-time data collected by the sensor includes vibration acceleration, velocity, displacement, temperature, speed, and current. , holographic spectrogram, etc., data preprocessing is mainly realized through hardware circuits, and corresponding charge amplifiers, preamplifiers, and intermediate converters are set according to different types of signals to amplify or convert analog to digital signals. Data preprocessing is not covered by this application. Within the scope, the hardware circuit and processing process will not be described in detail. Use MATLAB software to perform ...

Embodiment 2

[0082] Such as Figure 8 As shown, corresponding to Embodiment 1 of the present invention, Embodiment 2 of the present invention also provides a large-scale rotary unit fault diagnosis device, which includes:

[0083] The intelligent reasoning machine is used for the upper computer to obtain the information selected by the user, and judge the diagnostic model to be called according to the information selected by the user. The real-time data collected by the sensor is input to the upper computer after passing through the data preprocessing module, and the diagnostic model to be called is judged according to the information selected by the user. Fault diagnosis is performed by using the called diagnostic model, the diagnostic model includes a knowledge map reasoning model and a random forest reasoning model;

[0084] The knowledge map reasoning machine is used for the knowledge map model to store a large amount of data and cases in the field of fault diagnosis, and extract infor...

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Abstract

The invention discloses a large-scale rotary unit fault diagnosis method and device, and the method comprises the steps that an upper computer obtains user selection information, judges a diagnosis model needing to be called according to the user selection information, carries out the fault diagnosis through the called diagnosis model, and the diagnosis model comprises a knowledge graph inferencemodel and a random forest inference model; the knowledge graph model constructs a fault diagnosis knowledge graph of the large-scale rotary unit by utilizing the relationship among fault symptoms, a fault mechanism, fault reasons and solutions, and directly completes fault diagnosis from the fault symptoms according to real-time data acquired by a sensor; a decision tree model is built by the random forest reasoning model, and thus inputting real-time data acquired by a sensor into the decision tree model to determine a final diagnosis result; the invention has the advantages that the method is suitable for fault diagnosis of the large rotary unit, the diagnosis result is relatively accurate, and the diagnosis efficiency is high.

Description

technical field [0001] The invention relates to the field of fault diagnosis, in particular to a fault diagnosis method and device for a large rotary unit. Background technique [0002] At present, in the process of operation, maintenance and management of large-scale rotary units, fault finding and positioning are often judged manually. However, due to the differences between different personnel, the fault positioning and cause analysis have certain subjectivity and uncertainty. In addition, different types of faults may correspond to the same fault representation, and the generation of faults is usually concurrent, which further increases the complexity of the fault analysis process and reduces the accuracy. Due to the above reasons, the efficiency of fault diagnosis and cause analysis of large rotary units is low, which is not conducive to its operation and maintenance management. [0003] Chinese Patent Publication No. CN110162014A discloses a method for diagnosing refr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/17G06N5/04G06N3/00
CPCG06F30/20G06F30/17G06N5/04G06N3/006
Inventor 何旭谭现虎董健卞锦
Owner HRG INT INST FOR RES & INNOVATION
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