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Fault diagnosis method of nonlinear electromechanical system

An electromechanical system and fault diagnosis technology, which is applied in the direction of measuring electricity, measuring electrical variables, motor generator testing, etc., can solve problems such as weakened motor performance, untimely fault diagnosis, and strict requirements

Active Publication Date: 2018-08-14
HEFEI UNIV OF TECH
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Problems solved by technology

However, with the improvement of the accuracy and efficiency of the electromechanical system, the reliability of the DC servo motor is urgently needed to be enhanced, but the performance of the motor will be weakened under overload and high temperature conditions. In addition, the damage of the motor bearing will promote the friction of the motor increase, and these faults cannot be measured in time during the operation of the motor
[0003] At present, there are qualitative methods and quantitative methods for fault diagnosis. Among them, quantitative methods are divided into data-driven methods and model-based methods. Data-driven methods require sufficient and complete data for posterior analysis. , the requirements are very strict, and the fault diagnosis is not timely, and the fault source judgment is not accurate. Since the servo motor has urgent needs in terms of safety and stability, fast and accurate fault diagnosis is urgently needed

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0049] like figure 1 As shown, a fault diagnosis method for nonlinear electromechanical systems includes the following steps:

[0050] S1. Model the nonlinear electromechanical system, and obtain the bond graph model of the nonlinear electromechanical system;

[0051] S2. According to the bond graph model of the nonlinear electromechanical system, the analytical redundancy relationship is obtained, the residual error is generated according to the analytical r...

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Abstract

The invention relates to a fault diagnosis method of a nonlinear electromechanical system, in particular to the fault diagnosis method of the nonlinear electromechanical system. The fault diagnosis method comprises the following steps: firstly, modeling the nonlinear electromechanical system to obtain a bonding graph model of the nonlinear electromechanical system, and then to obtain an analysis redundancy relation and a fault feature matrix successively, analyzing the detectability and the separability of the fault of the nonlinear electromechanical system to obtain a set of possible faults of the nonlinear electromechanical system, and finally, performing the joint parameter estimation on the set of possible faults of the nonlinear electromechanical system and the state variables of thenonlinear electromechanical system through a particle filtering method, then comparing the sample mean value of the particle distribution with the nominal value of the model as the parameter estimatedvalue, and determining the fault of the nonlinear electromechanical system. According to the invention, the fault parameters can be accurately detected in a small range interval through fault identification, and the fault source can be diagnosed and isolated in time and accurately.

Description

technical field [0001] The invention relates to a fault diagnosis method of a nonlinear electromechanical system, in particular to a fault diagnosis method of a nonlinear electromechanical system. Background technique [0002] Now with the increasing maturity of science and technology, DC motors are widely used in robots, factory automation and industrial production. However, with the improvement of the accuracy and efficiency of the electromechanical system, the reliability of the DC servo motor is urgently needed to be enhanced, but the performance of the motor will be weakened under overload and high temperature conditions. In addition, the damage of the motor bearing will promote the friction of the motor increase, and these faults cannot be measured in time during the operation of the motor. [0003] At present, there are qualitative methods and quantitative methods for fault diagnosis. Among them, quantitative methods are divided into data-driven methods and model-bas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 郁明李航王海姜苍华李梦昕夏浩陈思肖晨雨
Owner HEFEI UNIV OF TECH
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