TY - JOUR
T1 - A Probabilistic Model-Aided Failure Prediction Approach for Spring-Type Operating Mechanism of High-Voltage Circuit Breakers
AU - Razi-Kazemi, Ali Asghar
AU - Niayesh, Kaveh
AU - Nilchi, Reza
PY - 2019/8
Y1 - 2019/8
N2 - To avoid failures in circuit breakers (CBs) and to extend the lifetime of these critical components, condition-based-maintenance has been increasingly requested by utilities to enable them to efficiently manage their assets. The origin of the most failures in CBs is the operating mechanism. Travel curve (TC) could effectively reveal the condition of the operating mechanism. However, the measurement of a TC profile is not simple in all CBs. This paper presents the impacts of common failure modes of CBs on TC profiles, and proposes a new model-aided approach to simulate the behavior of the operating mechanism with coupling the model-based and rule-based approaches. The simulation results along with experiments conducted on 72.5 kV SF6 CBs are organized into a fuzzy-probabilistic approach through maximum likelihood and interacting multiple models (IMM) to precisely predict the condition of CB and to detect intelligently the cause of the failure. For this purpose, the CB condition has been categorized into three modes based on its operating speed: normal (about 3 m/s), faulty-1 (less than the normal range), and faulty-2 (more than the normal range). The mode variations of the CB have been estimated via IMM in each operation. The proposed approach in prediction of the failures and cause(s) prior to their occurrence has been verified against experiments.
AB - To avoid failures in circuit breakers (CBs) and to extend the lifetime of these critical components, condition-based-maintenance has been increasingly requested by utilities to enable them to efficiently manage their assets. The origin of the most failures in CBs is the operating mechanism. Travel curve (TC) could effectively reveal the condition of the operating mechanism. However, the measurement of a TC profile is not simple in all CBs. This paper presents the impacts of common failure modes of CBs on TC profiles, and proposes a new model-aided approach to simulate the behavior of the operating mechanism with coupling the model-based and rule-based approaches. The simulation results along with experiments conducted on 72.5 kV SF6 CBs are organized into a fuzzy-probabilistic approach through maximum likelihood and interacting multiple models (IMM) to precisely predict the condition of CB and to detect intelligently the cause of the failure. For this purpose, the CB condition has been categorized into three modes based on its operating speed: normal (about 3 m/s), faulty-1 (less than the normal range), and faulty-2 (more than the normal range). The mode variations of the CB have been estimated via IMM in each operation. The proposed approach in prediction of the failures and cause(s) prior to their occurrence has been verified against experiments.
KW - Circuit breaker (CB)
KW - condition-based maintenance
KW - diagnostic
KW - probabilistic model
KW - travel curve
KW - Couplings
KW - Damping
KW - Vibrations
KW - Circuit breakers
KW - Shock absorbers
KW - Springs
KW - Monitoring
UR - https://doi.org/10.1109/TPWRD.2018.2881841
UR - http://www.scopus.com/inward/record.url?scp=85056727816&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/probabilistic-modelaided-failure-prediction-approach-springtype-operating-mechanism-high-voltage-cir
U2 - 10.1109/TPWRD.2018.2881841
DO - 10.1109/TPWRD.2018.2881841
M3 - Article
SN - 0885-8977
VL - 34
SP - 1280
EP - 1290
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 4
ER -