NDLI: Fault diagnosis system for industrial machinery based on embedded HTML5

Content Provider	IEEE Xplore Digital Library
Author	Xiaoye Jiang JinShan Gao
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China (Xiaoye Jiang; JinShan Gao)
Abstract	Regarding state-of-the-art fault diagnosis system for industrial machinery, specific handheld embedded device is a common solution. The complexity and high cost limit the development of fault diagnosis in industry area. To develop a cost-effective and ease-of-use maintenance technology, this paper presents a novel research work using wireless tablet and embedded HTML5 for machine fault diagnosis. The small foot-print embedded dongle acts as a web server using embedded HTML5 WebSocket to improve the performance of real-time communication. Meanwhile, the dongle also severs as an access point (AP) to the mobile device. The diagnosis algorithm based on complete ensemble empirical mode decomposition (CEEMD), singular value decomposition (SVD) and support vector machine (SVM) is presented and evaluated. This paper also presents an application of the proposed technique to real-world current data obtained from a dedicated fault diagnosis experimental test bed via Siemens SINAMICS drive system. The experiment results show that embedded HTML5 has significant advantages in industrial machinery fault diagnosis, and algorithm can meet the requirement of fault diagnosis in industry field.
Starting Page	653
Ending Page	658
File Size	657487
Page Count	6
File Format	PDF
ISBN	9781479913343
DOI	10.1109/ICInfA.2013.6720377
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Support vector machines Wireless communication fault diagnosis system HTML5 Feature extraction Real-time systems Servers embedded WebSocket Machinery
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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