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논문검색

Enabling Remote Fault Diagnosis through Data-driven Grid Computing

원문정보

초록

영어

Due to the complexity of modern manufacturing and mechanical equipments, it is difficult for equipment users or maintainers to accomplish fault diagnosis independently. In this paper, the development history of fault diagnosis technology is surveyed and investigated, especially remote fault diagnosis system based on Internet in detail. Then, a remote fault diagnosis system based on grid computing technology is proposed to enable collaborative resource sharing and problem solving among multiple equipment suppliers and equipment users by integrating all kinds of diagnostic resources. The architecture of this fault diagnosis system is presented, as well as the Client-Master-Worker computation model and the diagnostic workflow. Finally, a prototype system is implemented using the data-driven middleware-BitDew, in which multiple fault diagnosis grid services are integrated in a unified Web portal. The case study of data-driven fault data analysis is conducted in our prototype which has proved the effectiveness of the system.

목차

Abstract
 1. Introduction
 2. Background and Related Work
  2.1. The Early Stage of Fault Diagnosis Technology
  2.2. Remote Fault Diagnosis System based on Internet
  2.3. Remote Collaborative Fault Diagnosis System
 3. Grid-Enabled Remote Fault Diagnosis System
  3.1. Grid Technology and Fault Diagnosis
  3.2. Architecture of Fault Diagnosis Grid
  3.3. Features of the Proposed System
 4. Implementation of Prototype System
  4.1. Data-Driven Data Management Middleware
  4.2. Client-Master-Worker Computation Model and Fault Diagnosis Workflow
  4.3. Module Implementation
  4.4. Performance Evaluation
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Bing Tang School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, 411201, P.R.China
  • Li Zhang School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan, 411201, P.R.China

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