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Documents in the NTIS Technical Reports collection are the results of federally funded research. They are directly submitted to or collected by NTIS from Federal agencies for permanent accessibility to industry, academia and the public.  Before purchasing from NTIS, you may want to check for free access from (1) the issuing organization's website; (2) the U.S. Government Printing Office's Federal Digital System website; (3) the federal government Internet portal; or (4) a web search conducted using a commercial search engine such as
Accession Number ADA576801
Title Model-Based Fault Diagnosis in Electric Drives Using Artificial Neural Networks.
Publication Date Dec 2003
Media Count 25p
Personal Author B. F. Zhang H. Jia M. A. Masrur Y. L. Murphey Z. H. Chen
Abstract A model based fault diagnostics study of the power electronics inverter based electrical drive is proposed. The power electronics inverter is considered to be the weakest link in such a system, hence the focus of the work is initially on fault conditions ...
Keywords Electric automobiles
Electric drives
Electric propulsion
Electric vehicles
Fault detection
Hybrid vehicles
Neural nets
Power electronics

Source Agency Non Paid ADAS
NTIS Subject Category 85H - Road Transportation
81B - Electric & Ion Propulsion
97O - Miscellaneous Energy Conversion & Storage
Corporate Author Army Tank-Automotive Command, Warren, MI. Research Development and Engineering Dir.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1320
Contract Number N/A

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