A hydraulic cylinder fault diagnosis method

A fault diagnosis, hydraulic cylinder technology, applied in the fields of instruments, artificial life, design optimization/simulation, etc., can solve problems such as difficulty in acquiring fault data, model parameter selection, etc., to solve the problem of insufficient fault data, simplify the fault injection process, and achieve good results. Effect

Active Publication Date: 2021-12-21
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0006] Although existing technologies have successfully used data-driven methods for fault diagnosis of hydraulic cylinders, there are still problems in obtaining fault data and selecting model parameters.

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  • A hydraulic cylinder fault diagnosis method
  • A hydraulic cylinder fault diagnosis method
  • A hydraulic cylinder fault diagnosis method

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Embodiment Construction

[0042] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0043] This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, components are exaggerated for clarity.

[0044] The example object of the present invention is a typical valve-controlled hydraulic cylinder position control system, which mainly includes four parts: a servo amplifier, a servo valve, a hydraulic cylinder and a position sensor. The system mainly controls the movement of the hydraulic cylinder through the hydraulic pump and the three-position four-way reversing valve, and then the position information is fed back by the sensor to further adjust the control valve signal to achie...

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Abstract

The invention discloses a hydraulic cylinder fault diagnosis method. Firstly, the hydraulic cylinder is physically modeled and simulated in AMESim software and the fault injection process is completed to obtain fault data; then the wavelet packet energy is extracted from the data to construct a feature vector; and then the Fault diagnosis model based on high-dimensional nonlinear classifier; use training samples to train the fault diagnosis model, and use genetic algorithm to calculate the optimal solution of the parameters required by the model, and construct a multi-valued classifier; input hydraulic cylinder test samples to the model for further analysis Troubleshooting. The invention effectively solves the problem of insufficient fault data in the process of algorithm verification, and effectively solves the problem of nonlinearity and small samples by combining the application of a high-dimensional nonlinear classifier algorithm for optimized parameter search by genetic algorithm, and improves the fault identification ability of the fault diagnosis model.

Description

technical field [0001] The invention relates to the field of hydraulic cylinder fault diagnosis, in particular to a hydraulic cylinder fault diagnosis method based on a support vector machine (WPT-GASVM) based on wavelet packet decomposition and genetic algorithm optimization. Background technique [0002] Hydraulic systems are widely used in industrial production and are an important part of complex systems. As the executive part of the hydraulic servo system, the hydraulic cylinder is widely used in the realization of linear motion or rotary reciprocating motion, and its health status directly affects the entire production activities. Once the hydraulic cylinder fails, it will cause damage to equipment or loads, and it will threaten personal and property safety and cause major accidents. As equipment tends to become larger and more complex, traditional planned maintenance has been difficult to meet the needs of industrial production. [0003] In the past, the fault diagn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06N3/00
CPCG06N3/006G06F30/20
Inventor 张辉斌张惠娟杨忠陈爽田瑶瑶张小恺
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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