Intelligent fault diagnosis method for multi-source physical monitoring quantity of fiber laser system

Abstract

The invention discloses an intelligent fault diagnosis method for a multi-source physical monitoring quantity of a fiber laser system, and the method comprises the steps: building an intelligent fault diagnosis model for the multi-source physical monitoring quantity of the fiber laser system through time sequence signal data of the multi-source heterogeneous physical monitoring quantity of different functional parts in the fiber laser system; and performing real-time diagnosis and evaluation on the working state of each functional component and the overall operation state of the fiber laser system by using the model. The intelligent fault diagnosis method for the fiber laser system disclosed by the invention does not depend on professionals, can directly carry out real-time accurate evaluation on the operation state of each functional part of the fiber laser system, and carries out accurate positioning analysis on the fault part and reason of the fiber laser system according to the evaluation result; the consumption of manpower and material resources is greatly reduced, the production efficiency and the working performance of the laser can be guaranteed, and high-reliability and unmanned application of an optical fiber laser system in the fields of optical communication, industrial manufacturing and the like is possible.

Description

technical field [0001] The invention belongs to the field of intelligent fault diagnosis, in particular to an intelligent fault diagnosis method for multi-source physical monitoring quantities of an optical fiber laser system. Background technique [0002] Fiber laser systems play a very important role in optical communication, industrial manufacturing and other fields. In order to meet people's increasing demand for laser output power, the structure of fiber laser systems is becoming more and more complex. The performance of components in complex fiber laser systems directly affects the light output performance of laser subsystems at all levels and even the entire fiber laser system. These relatively precise key components have been operating in various complex experimental environments for a long time, and various failures will inevitably occur. After the occurrence, if the failure is not monitored and eliminated in time, it will not only cause damage to other components o...

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Problems solved by technology

[0003] The traditional fiber laser system fault diagnosis method mainly relies on engineering experience, generally relying on professionals to conduct on-site surveys and manual debugging and maintenance after the fault occurs, to confirm the fault and formulate a maintenance plan. This method is not only costly and inefficient

With the continuous development of computer technology, sensor technology, wireless transmission technology and artificial intelligence technology, intelligent fault diagnosis technology has emerged. Although intelligent fault diagnosis has been gradually applied in fiber laser systems, the complex fiber laser system The demand for intelligent fault diagnosis still has the following defects: (1) At present, there is no intelligent model for fault diagnosis of physical quantity data monitoring in fiber laser systems; (2) The existing intelligent diagnosis methods are only for the monitoring of a single physical quantity of a single functional component in the system Data for fault identification, unable to realize comprehensive fault diagnosis and positioning of multiple different functional components in the fiber laser system, and unable to consider the coupling relationship between multiple monitorable physical quantity signals in a single functional component

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