TY - GEN
T1 - Towards enhancing insulation condition monitoring of electric machines using a signal processing based technique
AU - Barkat, B.
AU - Al-Musabi, N.
AU - Poshtan, M.
PY - 2007
Y1 - 2007
N2 - The Oil/Gas industry is facing two major problems with its aging electric power generators. First, the Oil/Gas industry experience long outages of these power generation units for re-winding, during a time when power is extremely needed. Second, these fixed-interval scheduled maintenance practices are very costly as on average they cost around US$1 million per machine. To address these problems, we propose to develop an effective, reliable and automatic signal processing based technique to monitor the insulation condition of electric machines.
AB - The Oil/Gas industry is facing two major problems with its aging electric power generators. First, the Oil/Gas industry experience long outages of these power generation units for re-winding, during a time when power is extremely needed. Second, these fixed-interval scheduled maintenance practices are very costly as on average they cost around US$1 million per machine. To address these problems, we propose to develop an effective, reliable and automatic signal processing based technique to monitor the insulation condition of electric machines.
UR - http://www.scopus.com/inward/record.url?scp=51549098686&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2007.4555407
DO - 10.1109/ISSPA.2007.4555407
M3 - Conference contribution
AN - SCOPUS:51549098686
SN - 1424407796
SN - 9781424407798
T3 - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
BT - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
T2 - 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
Y2 - 12 February 2007 through 15 February 2007
ER -