TY - CHAP
T1 - Embedded fault diagnosis and prognosis
AU - Viola, Julio
AU - Restrepo, Jose
AU - Harley, Ronald
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2019.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The increasing use of power electronics in industry applications, energy conversion, electric vehicles (EVs), aircrafts, vessels, etc. propels efforts at early detection of potential abnormalities, which can degrade system performance, in order to reduce profit losses and even risk to human lives. In the onset of the power electronics digital control era, microprocessors were used exclusively for control tasks, mainly due to the lack in computing power needed by diagnosis algorithms. Nowadays, powerful low-cost microprocessors have become standard options for the design engineer, and embedded routines that perform real-time fault diagnosis are easily added to the design. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i.e., voltage and current) as health indicators of the involved devices.
AB - The increasing use of power electronics in industry applications, energy conversion, electric vehicles (EVs), aircrafts, vessels, etc. propels efforts at early detection of potential abnormalities, which can degrade system performance, in order to reduce profit losses and even risk to human lives. In the onset of the power electronics digital control era, microprocessors were used exclusively for control tasks, mainly due to the lack in computing power needed by diagnosis algorithms. Nowadays, powerful low-cost microprocessors have become standard options for the design engineer, and embedded routines that perform real-time fault diagnosis are easily added to the design. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i.e., voltage and current) as health indicators of the involved devices.
KW - Abnormalities detection
KW - Aircrafts
KW - Electric variables
KW - Electric vehicles
KW - Embedded fault diagnosis
KW - Embedded fault prognosis
KW - Embedded systems
KW - Embedded techniques
KW - Energy conversion
KW - Fault diagnosis
KW - Industry applications
KW - Low-cost microprocessors
KW - Microprocessor chips
KW - Microprocessors and microcomputers
KW - Power drives based systems
KW - Power electronics
KW - Power electronics digital control era
KW - Power electronics, supply and supervisory circuits
KW - Real-time condition monitoring
KW - System performance degradation
KW - Vessels
UR - http://www.scopus.com/inward/record.url?scp=85117998337&partnerID=8YFLogxK
U2 - 10.1049/PBPO120E_ch4
DO - 10.1049/PBPO120E_ch4
M3 - Chapter
AN - SCOPUS:85117998337
SN - 9781785614118
SP - 103
EP - 139
BT - Fault Diagnosis for Robust Inverter Power Drives
PB - Institution of Engineering and Technology
ER -