Electric actuating mechanism fault diagnosis method

Abstract

The invention discloses an electric actuating mechanism fault diagnosis method. The electric actuating mechanism fault diagnosis method comprises the steps that operating data and maintenance data of an electric actuating mechanism are analyzed to establish a knowledge base of operating states of the electric actuating mechanism and a diagnosis model of the electric actuating mechanism; the state characteristic quantity of the electric actuating mechanism during debugging and operation is extracted, operation is conducted on the state characteristic quantity according to the diagnosis model, and the operating state of the electric actuating mechanism is judged; if the operating state of the electric actuating mechanism is a fault state, it is determined that the electric actuating mechanism breaks down; when the electric actuating mechanism is in the fault state, the fault type of the fault state is determined according to fault classification, and self-recovery operation is conducted on the fault to restore the normal working state of the electric actuating mechanism. The electric actuating mechanism fault diagnosis method achieves automatic fault diagnosis, meets the control system fault detection and diagnosis demands in the large complicated production process and improves the fault diagnosis efficiency.

Description

Technical field [0001] The invention relates to the technical field of industrial control, in particular to a fault diagnosis method for an electric actuator. Background technique [0002] In a large and complex production process, the actuators have the characteristics of wide distribution, large number, and often special installation positions. Electric actuators have incomparable advantages over other types of media due to their use of electricity as a power source, so they have developed the fastest in recent years, and their scope of application continues to expand. As the power generation units put into operation in my country's power companies are increasingly large-scale, sophisticated, and highly automated, the requirements for unit stability and economy are continuously improved, ensuring high reliability of equipment, and timely diagnosis and troubleshooting have become Important content of equipment management and maintenance. For large-scale and complex production p...

AI Technical Summary

Problems solved by technology

For large-scale and complex production processes, the demand for fault detection and diagnosis of control systems is increasing. It is difficult to detect and repair actuator faults in a timely, accurate and effective manner only by manpower.

[0003] The existing fault diagnosis system is not complete enough to detect the failure of the actuator, lacks the ability to automatically analyze and evaluate the fault in depth, and adopts a single treatment measure. The increasing demand for fault detection and diagnosis, the efficiency of fault diagnosis is very low

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