Radiometric Timing of High-Voltage Circuit-Breaker Opening Operations

Meier, Stefan; Moore, P.J.; Coventry, P.F.

doi:10.1109/tpwrd.2011.2106225

Cited by 10 publications

(2 citation statements)

References 9 publications

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“…The CB operating mechanism may not be able to perform after certain number of operations. The degree of wear of the mechanical mechanism can be determined by keeping track of the numbers of certain types of CB operations such as the number of CB break under no load, the number of CB break under normal current and the number of CB break under fault current .…”

Section: Procedures Of the Cb Cbmmentioning

confidence: 99%

An intelligent maintenance model to assess the condition-based maintenance of circuit breakers

Lin

Yang

2014

Int. Trans. Electr. Energ. Syst.

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SUMMARYThe circuit breaker (CB) is one of the most important equipment in power systems. CB serves as both control and protection equipment, and its operating condition is critical to the stability and reliability of power systems. CB must operate reliably to protect power systems as well as to perform tasks such as load disconnection, normal interruption and fault current interruption. As the number of equipment increases and the demand for reliability grows, many utilities switch to condition-based maintenance (CBM) for better system operation efficiency and lower operating cost. This paper proposes a CB CBM model which integrates fuzzy set theory (FST), analytical hierarchy process (AHP) and evidential reasoning (ER). Two assessment factors, i.e. (i) operating mechanism and (ii) CB lifetime, are selected as the condition parameters. A hierarchical assessment index system is constructed based on intelligent electronic device (IED) monitoring data. FST is applied to analyze the CB condition assessment indices provided by the IEDs. Data collected from questionnaires after interviews with experts are utilized by AHP to calculate factors and index weights. The ER algorithm is applied to calculate each factor by combining the indices and by combining the factors to generate the overall assessment of the CB condition. Maintenance activity is scheduled according to the CB condition assessment. Field examples are given to illustrate the application of the model in assessing CB operation conditions.

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Section: Procedures Of the Cb Cbmmentioning

confidence: 99%

An intelligent maintenance model to assess the condition-based maintenance of circuit breakers

Lin

Yang

2014

Int. Trans. Electr. Energ. Syst.

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“…The operation states of HVCBs are directly related to the stability and reliability of the power system. The analysis object of HVCBs mainly operates via the moving contact travel-time characteristic method, the tripping (closing) coil current method, and the vibration signal method at present [3,4,5,6]. The operating mechanism is the main factor affecting the reliability of circuit breakers.…”

Section: Introductionmentioning

confidence: 99%

A Novel Mechanical Fault Feature Selection and Diagnosis Approach for High-Voltage Circuit Breakers Using Features Extracted without Signal Processing

Lin

Wang

et al. 2019

Sensors

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The reliability and performance of high-voltage circuit breakers (HVCBs) will directly affect the safety and stability of the power system itself, and mechanical failures of HVCBs are one of the important factors affecting the reliability of circuit breakers. Moreover, the existing fault diagnosis methods for circuit breakers are complex and inefficient in feature extraction. To improve the efficiency of feature extraction, a novel mechanical fault feature selection and diagnosis approach for high-voltage circuit breakers, using features extracted without signal processing is proposed. Firstly, the vibration signal of the HVCBs’ operating system, which collects the amplitudes of signals from normal vibration signals, is segmented by a time scale, and obviously changed. Adopting the ensemble learning method, features were extracted from each part of the divided signal, and used for constructing a vector. The Gini importance of features is obtained by random forest (RF), and the feature is ranked by the features’ importance index. After that, sequential forward selection (SFS) is applied to determine the optimal subset, while the regularized Fisher’s criterion (RFC) is used to analyze the classification ability. Then, the optimal subset is input to the hierarchical hybrid classifier, and based on a one-class support vector machine (OCSVM) and RF for fault diagnosis, the state is accurately recognized by OCSVM. The known fault types are identified using RF, and the identification results are calibrated with OCSVM of a particular fault type. The experimental proves that the new method has high feature extraction efficiency and recognition accuracy by the measured HVCBs vibration signal, while the unknown fault type data of the untrained samples is effectively identified.

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A Trigger Method Applied to the Development of Measurement Devices for Radiometric Measurement Systems

Mustafa

Cabral

Almaguer

et al. 2022

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

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Radiometric Timing of High-Voltage Circuit-Breaker Opening Operations

Cited by 10 publications

References 9 publications

An intelligent maintenance model to assess the condition-based maintenance of circuit breakers

An intelligent maintenance model to assess the condition-based maintenance of circuit breakers

A Novel Mechanical Fault Feature Selection and Diagnosis Approach for High-Voltage Circuit Breakers Using Features Extracted without Signal Processing

A Trigger Method Applied to the Development of Measurement Devices for Radiometric Measurement Systems

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