Earticle

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

키워드

저자

• Jie Zhang [ College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China ]
• Miaomiao Zhao [ College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605