NDLI: Function estimation for multiple indices trend analysis using self-organizing mapping

Content Provider	IEEE Xplore Digital Library
Author	Siyu Zhang
Copyright Year	1994
Description	Author affiliation: Dept. of Mech. Eng., Concordia Univ., Montreal, Que., Canada (Siyu Zhang)
Abstract	Since system conditions can be indicated by a group of machine signal features but not any individual index, multiple indices trend analysis has foundational importance in system monitoring and diagnosis for factory automation. The author proposes to employ self-organizing neural network method to perform trend analysis in multi-dimensional space as an original exploration. However, experiments show that Kohonen's learning algorithm and constrained topological mapping algorithm may yield nonfunctional maps in such a prediction analysis. An improvement on them by unequal scaling the training data can protect the topological order of netted neurons from being violated. This new approach achieves more accurate results than the widely used single-variable trend analysis method, and is suitable for interpolation for a large number of data and extrapolation in few data cases. The proposed approach is actually a general algorithm which can be widely used in high-dimensional line function regression.<>
Starting Page	160
Ending Page	165
File Size	523237
Page Count	6
File Format	PDF
ISBN	0780321146
DOI	10.1109/ETFA.1994.402008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-11-06
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal analysis Computerized monitoring Condition monitoring Manufacturing automation Neural networks Performance analysis Algorithm design and analysis Training data Protection Neurons
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
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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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