Characterization and Detection of Electrical Faults           (Supplemental Funding for Minority Research Assistants)
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Christopher Collins', 'PO_EMAI': None, 'PO_PHON': None}
This research is armed at fundamental understanding of identification           methods for high impedance and arcing faults on distribution feeders.           The intent of the research is to fully understand and characterize the          nature of these faults and to explore new detection techniques using            advanced concepts of signal processing and pattern recognition such as          spectral analysis, signal detection and signature classification.  It           is expected that the use of these concepts with knowledge based                 systems and parallel processing hardware can result in the detection            and classification of faults which are currently undetectable.
{'FirstName': 'B. Don', 'LastName': 'Russell', 'PI_MID_INIT': None, 'PI_SUFX_NAME': 'Jr.', 'PI_FULL_NAME': 'B. Don Russell', 'EmailAddress': 'bdrussell@tamu.edu', 'NSF_ID': '000377663', 'StartDate': '01/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Texas A&M Research Foundation', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKWY S STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'EQH8NQ4AXFT7', 'ORG_LGL_BUS_NAME': 'TEXAS A & M RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': None}
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[{'Code': '145200', 'Text': 'POWER SYSTEMS'}, {'Code': '151800', 'Text': 'CONTROL, NETWORKS, & COMP INTE'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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