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A Fault Diagnosis Method Based on Sensor Complementarity Analysis

A fault diagnosis and sensor technology, applied in the direction of instruments, complex mathematical operations, motor generator testing, etc., to achieve the effect of reasonable design, clear logic, and improved accuracy

Active Publication Date: 2020-07-03
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, how to construct an effective fault diagnosis model based on sensor complementarity analysis remains to be further studied.

Method used

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  • A Fault Diagnosis Method Based on Sensor Complementarity Analysis
  • A Fault Diagnosis Method Based on Sensor Complementarity Analysis
  • A Fault Diagnosis Method Based on Sensor Complementarity Analysis

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Embodiment Construction

[0026] like figure 1 As shown, the present invention includes two parts of complementarity analysis and fault diagnosis. The complementarity part obtains the fault diagnosis matrix according to the motor rotor fault diagnosis history database, and then obtains the sensor preference relationship matrix for a certain fault type, and then calculates the complementarity vector between the sensors for this type of fault. A data fusion model is constructed based on complementary vectors to diagnose an unknown fault. The specific steps of the invention are as follows:

[0027] Step 1. Obtain the preference relationship matrix:

[0028] Step 101: Obtain the fault diagnosis matrix of each sensor:

[0029] In a specific embodiment, there are three types of motor rotor system detection sensors, which are denoted as X={x 1 ,x 2 ,x 3}, respectively corresponding to the rotational speed sensor, vibration sensor and vibration acceleration sensor; motor rotor fault type, denoted as Y={y...

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Abstract

The invention discloses a fault diagnosis method based on sensor complementarity analysis. The fault diagnosis method comprises the following steps of: the step 1, obtaining a preference relation matrix; the step 2, acquiring a sensor complementarity vector; and the step 3, fusing the multi-sensor detection data to obtain the fault type. The method is clear in logic and reasonable in design, the sensor complementarity is analyzed according to the fault diagnosis historical data, and the multi-sensor fault diagnosis model is constructed on the basis of the sensor complementarity. Therefore, during fault diagnosis, the advantages of various sensors are comprehensively considered, the accuracy of fault diagnosis during multi-sensor detection is improved, and the fault diagnosis of the motor rotor system is helped.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and in particular relates to a fault diagnosis method based on sensor complementarity analysis. Background technique [0002] With the rapid development of technology in various fields, the functions of some systems are becoming more and more perfect in practical applications, and their structures are becoming more complex. However, when the system fails, it becomes more difficult to analyze the cause of the failure. At the same time, due to the maturity of technology, the economic loss caused by the failure of large-scale systems is becoming more and more serious, and the scope of its influence is also wider. Therefore, for the good operation and maintenance of the system, fault diagnosis is extremely important, and it is also necessary to construct an effective and reasonable fault diagnosis model. Many studies have proposed various method models to solve the problem of fault diagnosi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34G06F17/16G06F17/18
CPCG01R31/346G06F17/16G06F17/18
Inventor 蒋雯马泽宇邓鑫洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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