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| Content Provider | IET Digital Library |
|---|---|
| Author | Wu, Tianshu Chen, Shuyu Wu, Peng |
| Abstract | In view of the actual problems existing in life-cycle health monitoring and diagnosis of large complex equipment, the machine-learning algorithm is applied to data mining of the equipment operation big data, the expert knowledge base is established, the diagnosis rules related to the fault are obtained, the intelligent online monitoring and remote diagnosis of the equipment health condition are realised. The system uses uncertain fault prediction method and hybrid intelligent algorithm to discover the hierarchical association between operation feature big data and operation faults, the feature extraction of operation faults, and the intelligent diagnosis of operation faults. It effectively improved the sensitivity, robustness, and accuracy of monitoring and diagnosis. In the cloud service platform based on the Internet of things, the system realises the intelligent fault prediction and diagnosis, establishes a proactive maintenance system, improves the production efficiency, and ensures the production safety. |
| Starting Page | 8980 |
| Ending Page | 8985 |
| Page Count | 6 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9162 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Actual Problem Big Data Civil And Mechanical Engineering Computing Cloud Computing Complex Equipment Computerised Monitoring Condition Monitoring Data Handling Technique Data Mining Diagnosis Rules Equipment Health Condition Equipment Operation Big Data Expert Knowledge Base Fault Diagnosis Feature Extraction Hybrid Intelligent Algorithm Industrial Application of IT Inspection And Quality Control Intelligent Diagnosis Intelligent Fault Diagnosis System Intelligent Fault Prediction Intelligent Online Monitoring Internet Software Knowledge Engineering Technique Learning in AI Life-cycle Health Monitoring Machine-learning Algorithm Maintenance And Reliability Maintenance Engineering Mechanical Engineering Application of IT Operation Fault Power Engineering Computing Proactive Maintenance System Production Engineering Computing Remote Diagnosis Statistics Uncertain Fault Prediction Method |
| Content Type | Text |
| Resource Type | Article |
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