Research on fault diagnosis method of distribution transformer based on MFCC and HMM

被引：0

作者：

Qin, Hao ^{[1
]}

Zhou, Wenyou ^{[2
]}

Zhang, Minzhi ^{[2
]}

Liu, Pengxiang ^{[2
]}

机构：

[1] Guangdong Power Grid Co, Foshan Power Supply Bur, Foshan, Guangdong, Peoples R China

[2] Guangdong Power Grid Co, Shunde Power Supply Bur, Foshan, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON SENSORS, MECHATRONICS AND AUTOMATION (ICSMA 2016) | 2016年 / 136卷

关键词：

distribution transformer; Mel coefficient of frequency (MFCC); hidden Markov model (HMM); fault diagnosis; acoustic signal;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The acoustic signal of the distribution transformer contains a much of information about the state of the transformer operation. Therefore, the fault diagnosis method of distribution transformer based on MFCC and HMM is proposed. The acoustic diagnosis process of transformer fault can be divided into three parts: (1) pre-acquisition and pre-processing of signal, (2) the MFCC and its first-order difference coefficient of the transformer acoustical signal are extracted as the characteristic quantities of the acoustic signals of distribution transformers, (3) the hidden Markov model (HMM) is used to classify and identify the acoustic signals. This method is verified by experiments and the influence of several common environmental disturbance on fault diagnosis is considered. The results show that the method can be applied to the fault diagnosis of the distribution transformer, and it has a certain anti-interference ability.

引用

页码：184 / 191

页数：8

共 50 条

[21] Research on Fault Diagnosis for Power Transformer Based on HHGA-WNN
Yang, Hailiang
PROCEEDINGS OF 2018 IEEE 4TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2018), 2018, : 1285 - 1287
[22] Research on Transformer Condition Prediction Based on Gas Prediction and Fault Diagnosis
Ding, Can
Chen, Wenhui
Yu, Donghai
Yan, Yongcan
ENERGIES, 2024, 17 (16)
[23] Research in BP ANN of Transformer Fault Diagnosis
HangQi-Wu
2011 SECOND ETP/IITA CONFERENCE ON TELECOMMUNICATION AND INFORMATION (TEIN 2011), VOL 2, 2011, : 339 - 342
[24] Transformer fault diagnosis method based on compact fusion of fuzzy set and fault tree
Gu, K. (gukai@whu.edu.cn), 1600, Science Press (40): : 1507 - 1513
[25] Transformer DGA fault diagnosis method based on DBN-SSAELM
Wang Y.
Li W.
Zhao H.
Zhang J.
Shen Z.
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (04): : 32 - 42
[26] Vibration signal based diagnosis method for looseness fault of transformer winding
Yan J.
Ma H.
Li K.
Zhang D.
Sun Y.
Qi W.
Ma, Hongzhong (hhumhz@163.com), 1600, Automation of Electric Power Systems Press (41): : 122 - 128
[27] Transformer Fault Diagnosis Method based on PSO-GMNN Model
Li, Yaping
Li, Yuancheng
RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2023, 16 (04) : 417 - 425
[28] Transformer fault diagnosis method based on SMOTE and NGO-GBDT
Wang, Li-zhong
Chi, Jian-fei
Ding, Ye-qiang
Yao, Hai-yan
Guo, Qiang
Yang, Hai-qi
SCIENTIFIC REPORTS, 2024, 14 (01)
[29] The Transformer Fault Diagnosis Method Based on Improved Support Vector Machine
Huang Chao-Lin
INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS RESEARCH, 2013, 422 : 83 - 88
[30] Transformer Fault Diagnosis Model Based on FI-CNN Method
Lin, Nan
Guo, Zhengwei
INTERNATIONAL CONFERENCE ON INTELLIGENT TRAFFIC SYSTEMS AND SMART CITY (ITSSC 2021), 2022, 12165

← 1 2 3 4 5 →