원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.11 No.6
2016.06
pp.219-226
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Because of the machine equipment fault has the fuzzy characteristics, based on the ZJ19E monitoring system, proposed one kind based on the Internet of things technology and fuzzy neural network intelligent fault diagnosis of remote control system scheme, established the fault diagnosis model based on fuzzy neural network, realizes the remote diagnosis of the machine equipment fault, improves the traditional control methods greatly improved productivity and automation, and improves the high rate of fault diagnosis of the machine equipment, makes the ZJ19E monitoring system remotable and intelligentialize.
목차
Abstract
1. Introduction
2. The Overall Structure of the System
3. The Realization of a Remote Diagnosis System
4. The Operation Theory of the Remote Diagnosis System
5. Fuzzy Neural Network
5.1. The Confirmation of the Subordinate Function
5.2. The The Establishment of a Fuzzy Neural Network
5.3. The Testing Process of the Fuzzy Neural Network
5.4. The Method of Compression of Statistics
6. Conclusion
References
1. Introduction
2. The Overall Structure of the System
3. The Realization of a Remote Diagnosis System
4. The Operation Theory of the Remote Diagnosis System
5. Fuzzy Neural Network
5.1. The Confirmation of the Subordinate Function
5.2. The The Establishment of a Fuzzy Neural Network
5.3. The Testing Process of the Fuzzy Neural Network
5.4. The Method of Compression of Statistics
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보