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An innovative non-intrusive load monitoring system for commercial and industrial application

Jacquemod G. | Van Cuong N. | Nicolle B. | Dekneuvel E. Danang University of Technology, Viet Nam| Zammit O. Qualisteo Company, VNice, France|

International Conference on Advanced Technologies for Communications Số , năm 2012 (Tập , trang 23-27)

ISSN: 21621039

ISSN: 21621039

DOI: 10.1109/ATC.2012.6404221

Tài liệu thuộc danh mục: Scopus

Conference Paper

English

Từ khóa: Complex information; CUSUM; Electrical appliances; Gate arrays; Industrial machines; NILM; Nonintrusive load monitoring; Power monitoring; Preprocessing phase; Removing noise; Residential application; Sampling frequencies; Signal representations; Simple informations; Adaptive filters; Electromagnetic pulse; Industrial applications; Field programmable gate arrays (FPGA)
Tóm tắt tiếng anh
Over more than 30 years development of Non-intrusive Load Monitoring (NILM), many technologies were developed from sampling frequency 1 Hz to hundreds kHz to extract from simple information such as difference power dP, dQ; shape of transient signatures to complex information such as harmonics or electromagnetic interference (EMI). There are now many real NILM systems in residential applications but there is lack of researches to apply NILM to commercial and industrial application. This site uses so much energy in business and production so that analyzing power consumption to optimize their operation is very important to produce competitive products on the market. Unfortunately, it is very difficult to recognize commercial and industrial machine that are composed of many electric elements. This paper provides a new NILM approach to monitor commercial and industrial machines based on basic electrical appliances inside architecture of machine. All power differences dP, dQ, dS are used to analyze and classify basic electrical appliances. Adaptive filter CUSUM is used to improve removing noise in preprocessing phase of the NILM system. Finally, Field Program Gate Array (FPGA) is discussed to implement our NILM system. � 2012 IEEE.

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