Mechanical Fault Diagnosis of Circuit Breaker Based on Autoencoder Neural Network and Support Vector Machine

Liu, Sen; Song, Pengfei; Zhai, Changchun; Xiong, Likun; Lei, Fangfei; Ye, Yijun; Yang, Aijun

doi:10.1109/cieec50170.2021.9510390

Cited by 1 publication

(2 citation statements)

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“…As mentioned earlier, there are several important parameters of a circuit breaker that must be considered in this analysis; these include the time taken at certain points of tripping of the circuit breaker (which are latch, buffer, acon, mcon, and end time). These parameters must be isolated and compiled in a new Microsoft Excel file [12]. In this project, there are five important parameters during tripping that are considered; these are latch, buffer, acon, mcon, and end.…”

Section: Resultsmentioning

confidence: 99%

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Early fault identification for operating circuit breaker based on classifier model system

Hussain¹,

Ahmed

Taha³

2022

IJEECS

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One of the most important switchgear in a substation is the circuit breaker (CB); it is used either in the transmission or distribution sections. Currently, the maintenance of a CB is done by capturing the trip time using a handheld device; the trip time is the time from trip initiation to the moment of current flow cessation in the load side of the CB. For the maintenance staff of the Iraqi National Power Board (INPB), their decision is mainly aimed to pinpoint the specific problem of the CB, the breaker parameters, such as latch, buffer, mcon, acon, and end which can be analysed using data mining methods such as K-means clustering and Sammon mapping (KCSM). The advantages of this approach include early identification of faults and saving more cost and time of repairing and replacing damaged CBs as the number of damaged CBs can be decreased. The problem with this method is the prolonged time of testing the conventional trip as it requires removing the CBs from service and planned outage. Furthermore, the CB may not capture the crucial information that causes slow tripping. Hence, the main objectives of this work are to analyse CB trip coil current data and study the effect and relationship between two different analytical approaches to analyse the data. The result of this technique showed excellent identification of the switch faults.

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Section: Resultsmentioning

confidence: 99%

“…In this method of CB faults detection, two shots are laid on top of one another to compare both of the shots in different ways [12]- [15]. First, compare the same breaker on the first and second shots.…”

Section: Methodsmentioning

confidence: 99%