Maintenance troubleshooting method based on TFM three-dimensional information flow model

Abstract

The invention discloses a maintenance troubleshooting method based on a TFM three-dimensional information flow model. With collaborative optimization of fault diagnosis and fault removal as the target, the maintenance troubleshooting method includes the following steps of (1), information integration based on a main body and an ant colony; (2), TFM three-dimensional information flow modeling basedon a system functional structure; (3), fault diagnosis based on the TFM three-dimensional information flow model; (4), troubleshooting message push based on the TFM three-dimensional information flowmodel. According to a concept of a TFM three-dimensional information flow, in the process of applying an information integration technology to graphical modeling, correlated information for assistingin diagnosis is added into nodes of the model, and by combining a graph theory method with information reasoning, diagnosis of unknown new faults is achieved. By means of integrated modeling of three-dimensional information of testing, faults and maintenance, integrated flow of fault diagnosis and maintenance troubleshooting work is achieved, the demands of engineering practice are better met, and the maintenance troubleshooting efficiency is improved.

Description

technical field [0001] The invention relates to a maintenance and troubleshooting method based on a TFM three-dimensional information flow model, and belongs to the technical field of maintenance and troubleshooting. Background technique [0002] As an important means to ensure the safety of equipment during operation, maintenance and troubleshooting technology has always been a research hotspot in various research fields. A complex system is generally a huge system consisting of multiple subsystems with different structures and characteristics. Each subsystem may fail, resulting in a variety of failures. Taking civil aircraft as an example, in July 2016, the Civil Aviation Administration of China (CAAC) collected a total of 446 aircraft service difficulty reports (SDR) reported by various airlines, and analyzed and processed them. The results are as follows: a total of 303 mechanical SDR reports, the top three are power plant, landing gear system and flight control system,...

AI Technical Summary

Problems solved by technology

To sum up the above, the shortcomings of the prior art: (1) In terms of fault diagnosis, in view of the increasingly complex system and the higher and higher requirements for diagnostic accuracy, fault diagnosis based only on the graph theory model cannot meet the requirements of fault diagnosis for complex large-scale systems. Require

Existing diagnostic methods based on graph theory models have the defects of poor model versatility and low diagnostic accuracy, and the information in the system that is helpful for diagnostic reasoning cannot be fully utilized in graph theory models (2) In terms of integration of maintenance and troubleshooting information , ontology-based methods show certain advantages

However, most of the existing studies are completed by a single person to construct ontology

For multi-source, distributed and heterogeneous aircraft maintenance and troubleshooting information, if only a single person manually constructs the maintenance and troubleshooting information ontology, the workload will be heavy, the update will be difficult, and important mapping relationships will be missed, which will affect the integration of information. Accuracy makes a big difference

(3) In addition, the existing studies on fault diagnosis and maintenance troubleshooting are independent of each other

In engineering practice, fault diagnosis and maintenance and troubleshooting operations are a continuous process, lacking the theory and implementation methods of maintenance and troubleshooting integration

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