Fault Detection and Diagnosis in the PLC-controlled Manufacturing Systems
- 주제(키워드) PLC , Diagnosis , Fault , Manufacturing
- 발행기관 아주대학교
- 지도교수 왕지남
- 발행년도 2009
- 학위수여년월 2009. 8
- 학위명 석사
- 학과 및 전공 일반대학원 산업공학과
- 실제URI http://www.dcollection.net/handler/ajou/000000010110
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Operational faults associated with control processes are difficult to detect and diagnose to maintenance personals. In PLC controlled flexible manufacturing systems, since, there is no inherent automatic fault finding module in controller itself, additional diagnostic model needs to be developed to find out possible errors. Fault finding and diagnostic models developed differ depending on measured data from the inspection machines and sensor data from devices. In this work, a fault detection and diagnostic model is described based on internal PLC program signal data which is acquired through OPC Server. The observed or real-time PLC signal data is compared with normal operational PLC signal data to find out possible faults or deviations using statistical and intelligent techniques. The data acquisition procedure and the techniques used have been explained in detail. For the applicability of used models, experiment works and its results are also presented in this paper.
more목차
1. Introduction
1.1 PLC (Programmable Logic Controller) 10
1.2 PLC Program 11
1.3 PLC Controlled Manufacturing Systems 11
1.4 Faults and Diagnosis in PLC Controlled Systems 13
1.5 Scope of thesis 15
1.5.1 Challenges 15
1.5.2 Contribution 15
1.6 Organization of thesis 16
2. Literature Review 16
3. Proposed Method 19
4. Methodology
4.1 Fault Detection and Diagnosis 21
4.2 OPC Server 22
4.3 Data acquisition and pre-processing 25
4.4 Error detection and fault finding 26
4.5 Diagnosis and debugging 27
4.5.1 Interlock checking 28
4.5.2 Pattern checking 29
5. Implementation
5.1 Experimental Scenario 30
5.2 Diagnosis and Debugging process 34
5.3 Pattern Checking 37
6. Conclusion and future work 38
Bibliography 39
Appendix 42
