Abstract
For forest-products-based industries, the significant
benefits of preemptive arc-flash protection and online
condition monitoring of electrical equipment are not well
known. This paper provides a summary of the research
surrounding the development and testing of new advanced
sensor technologies for this purpose. This paper builds
on the authors' initial research and their supporting
publications providing more extensive and detailed field
measurements supporting the preemptive detection of
significant defects that can lead to an arc-flash event.
The early detection of impending faults and the
prediction of future arc-flash occurrences in medium
voltage (MV) switchgears and motor control centers (MCCs)
can be very beneficial. The development of new sensor
technologies both for partial discharge measurement and
thermal detection are discussed and evaluated. The two
most common noncontact causes leading to an arc-flash
event in MV switchgears and MCCs are insulation
degradation and thermal stresses. This paper will
highlight very detailed results measured under both of
these conditions in laboratory and actual installed
conditions. An effective signal processing method, which
is used for extracting the essential indication data and
for the integration of this system into existing
protection programmable logic control or supervisory
control and data acquisition (SCADA) systems, is
outlined.
Original language | English |
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Pages (from-to) | 740-750 |
Journal | IEEE Transactions on Industry Applications |
Volume | 52 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- arc flash
- arcing fault
- discrete wavelet transform (DWT)
- motor control center (MCC)
- nonintrusive sensors
- online condition monitoring
- proactive techniques
- signal processing
- switchgear