Abstract
| Original language | English |
|---|---|
| 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 |
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Keywords
- arc flash
- arcing fault
- discrete wavelet transform (DWT)
- motor control center (MCC)
- nonintrusive sensors
- online condition monitoring
- proactive techniques
- signal processing
- switchgear
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New preemptive arc-fault detection techniques in medium-voltage switchgear and motor controls. / Kay, John A.; Hussain, G. Amjad; Lehtonen, Matti; Kumpulainen, Lauri.
In: IEEE Transactions on Industry Applications, Vol. 52, No. 1, 2016, p. 740-750.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - New preemptive arc-fault detection techniques in medium-voltage switchgear and motor controls
AU - Kay, John A.
AU - Hussain, G. Amjad
AU - Lehtonen, Matti
AU - Kumpulainen, Lauri
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - arc flash
KW - arcing fault
KW - discrete wavelet transform (DWT)
KW - motor control center (MCC)
KW - nonintrusive sensors
KW - online condition monitoring
KW - proactive techniques
KW - signal processing
KW - switchgear
U2 - 10.1109/TIA.2015.2466620
DO - 10.1109/TIA.2015.2466620
M3 - Article
VL - 52
SP - 740
EP - 750
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
SN - 0093-9994
IS - 1
ER -