Model Based Machine Diagnostics Using Remote Sensing
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
This research will investigate developing a machine diagnostics                 system based on sensors that are typically found in a machine                   tool.  This approach will be applied to machine tool drive                      systems.  The signals that are readily available are motor                      voltage, current, velocity, and position; these signals will be                 employed in this technique.  The research is concerned with                     detecting either a change in the load imposed on the drive system               (e.g. load caused by a failed bearing, gear, or belt or a                       slide/weighs fault) or a change in the dynamic behavior of the                  drive system (e.g. caused by motor characteristics or                           slide/weighs changes).  The research will concentrate on                        mechanical component faults.  The major tasks of the research                   include development of a dynamic mathematical model of the system               to quantify the relation between the load and the remotely                      measured load signal, identification of the number of sensors                   required to detect machine faults, and off-line algorithms to                   detect and identify faults.
{'FirstName': 'Jeffrey', 'LastName': 'Stein', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeffrey L Stein', 'EmailAddress': 'stein@umich.edu', 'NSF_ID': '000091934', 'StartDate': '03/15/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}
{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}
{'Code': '1468', 'Text': 'Manufacturing Machines & Equip'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8605917.xml'}