Research for CNC Machine Tool Servo System Fault Diagnosis Expert System

Wang, Shu Qiang; Gao, Jing Ge; Wei, Lu

doi:10.4028/www.scientific.net/amr.284-286.2489

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…The former adopts the disk-shaped metal liner and friction force so that the friction force reaches the best so that it can fully contact the brake disc. The use of intelligent fault diagnosis technology, the use of fixture and brake corresponding working face contact, constitute a full hydraulic system of diagnosis system, and all kinds of brakes are used in different operating areas, at the same time, the driving mechanism can also be installed on both sides of the gate, that is, the diagnostic fixture [8][9][10][11][12].…”

Section: Results Analysismentioning

confidence: 99%

Research and Application of CNC Machine Tool Fault Intelligent Diagnosis Technology

2024

Frontiers in Artificial Intelligence and Applications

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The interior of CNC machine tools is relatively precise and the overall structure is very complex. It is a relatively advanced mechanical equipment and is widely used in some relatively large factories. In today’s society, various industries are using intelligent diagnostic technology, which is developed on the basis of computers and artificial intelligence. Because the process of fault diagnosis and processing of CNC machine tools is very cumbersome, the development of diagnosis technology is also becoming more and more intelligent with the development of the CNC industry, which provides a strong guarantee for ensuring the safety of machine tools. In CNC machining, intelligent detection technology also plays an increasingly important role. The intelligent diagnosis system of CNC machine tools is to apply artificial intelligence technology to the CNC system. This paper summarizes the types of CNC machine tool faults and explains in detail the characteristics of CNC machine tool fault diagnosis. Diagnose and repair, thereby reducing economic losses. Finally, this paper looks forward to the main research directions of the future intelligent fault diagnosis technology of CNC machine tools.

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Section: Results Analysismentioning

confidence: 99%

Research and Application of CNC Machine Tool Fault Intelligent Diagnosis Technology

2024

Frontiers in Artificial Intelligence and Applications

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“…Based on the seven-layer fault diagnosis knowledge structure proposed by Wangjiahai [3] . Combined with expert knowledge, comprehensively analyzed the CNC machine tool fault diagnosis case set, up-bottom way was selected to construct ontology.…”

Section: 1ontology Constructionmentioning

confidence: 99%

The construction and application of knowledge graph-based fault diagnostic system of CNC machine tool

Wang

Yin

Gao

2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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The ability to solve the complicated and interconnected systemic CNC machine tool faults of traditional machine tool fault diagnosis systems are limited. As a research hot-spot in the field of artificial intelligence, the knowledge map has the ability to standardize the non -structured data such as expert knowledge and use it for fault diagnosis, which can realize the explanation of the cause of fault. This article proposes a method to construct self-optimizing diagnostic system of CNC machine tool based on knowledge graph. First of all, expert knowledge was used to build the ontology of the knowledge map, and clarify the entity and relationship type in the knowledge map. Then, BiLSTM-CRF Model was used for named entity recognition from non-structured text. After that, Attention-based BiLSTM Model was used for relation detection and classification based on the previous result. Eventually, the extracted entity and relationship can build a knowledge graph for the diagnosis of CNC machine tool fault. Based on this as a premise, the diagnostic system of CNC machine tool is realized.

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Research for CNC Machine Tool Servo System Fault Diagnosis Expert System

Cited by 2 publications

References 1 publication

Research and Application of CNC Machine Tool Fault Intelligent Diagnosis Technology

Research and Application of CNC Machine Tool Fault Intelligent Diagnosis Technology

The construction and application of knowledge graph-based fault diagnostic system of CNC machine tool

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