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Practical Maintenance Model of Power Transformer in Thai Transmission System by Using FMECA


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DOI: https://doi.org/10.15866/iree.v17i6.23027

Abstract


Failure Modes Effects and Criticality Analysis of the maintenance model of risk management for power transformers in Thai transmission system is proposed and measured by severity, occurrence, and detection in order to establish a risk priority number or criticality. The severity involves two criteria: susceptibility and efficiency. The susceptibility-severity concerns four sub-criteria: service life of transformer components, system stability, social aspect, and public image, while the efficiency-severity focuses on the percentage of component condition index determined by the electrical and insulating oil tests, and visual inspection. The weight and score technique is also applied. The occurrence specifies the frequency of component failure, while the detection refers to the capability to detect failures. Furthermore, the scores of severity, occurrence, and detection are compared to their limitation with five levels: one for low and five for high risks. Subsequently, the criticality to plan and prioritize the maintenance model is established into two approaches: susceptibility-criticality and efficiency-criticality. The maintenance action is categorized into four models: low for acceptable, medium for tolerable, high and very high degrees for unacceptable risks. In the analysis, 78 transformers rating 115 kV and 33 transformers rating 230 kV in Thailand are studied. Available major failures on winding, on load tap changer and bushing are investigated. The results show that all the windings are first prioritized with refurbishment or replacement action due to unacceptable risk with frequent failure and very low detectability. Consequently, the effective maintenance model can be achieved with higher system reliability and reduced failure risk.
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Keywords


FMECA; Power Transformer; Criticality Analysis; Maintenance Model

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References


Phadungthin, R., Haema, J., Implementing Reliability-centered Maintenance Model for Porcelain Housed Components of Loading and Tie Transformers, (2017) International Review of Electrical Engineering (IREE), 12 (4), pp. 324-331.
https://doi.org/10.15866/iree.v12i4.11757

Z. Liang, A. Parlikad, A Markovian Model for Power Transformer Maintenance, Electrical Power and Energy Systems, vol. 99, 2018, pp. 175-182.
https://doi.org/10.1016/j.ijepes.2017.12.024

S.A. Ghani, M.S. A. Khiar, I.S. Chairul et al., Comparative Study of Electrical Test Methods on Detecting Transformer Faults, Indonesian Journal of Electrical Engineering and Computer Science, vol. 25, no. 2, 2022, pp. 755-762.
https://doi.org/10.11591/ijeecs.v25.i2.pp755-762

Y.Z.Y. Ghazali, M.A. Talib, A.M. Soosai, TNB approach on managing asset retirement for distribution transformers, The 23rd International Conference on Electricity Distribution, 2015.

M.M. Islam, G. Lee, S.N. Hettiwatte, A Review of Condition Monitoring Techniques and Diagnostic Tests for Lifetime Estimation of Power Transformers, Electrical Engineering, vol. 100, no. 2, 2018, pp.581-605.
https://doi.org/10.1007/s00202-017-0532-4

E.T. Mharakurwa, G.N. Nyakoe, A.O. Akumu, Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique, Journal of Electrical and Computer Engineering, vol. 2019, 2019, pp. 1-11.
https://doi.org/10.1155/2019/9674054

P. Sivasankaran, P. Baskaran, Analysis of Product Reliability Using Failure Mode Effect Critical Analysis (FMECA)-Case Study, International Journal of Application or Innovation in Engineering and Management, vol. 10, no. 6, 2021, pp. 44-49.

S.O. Anaza, J.D. Jiya, Y.S. Haruna, Risk Assessment of a RFID-GSM Based Lock System Using FMECA Technique, International Journal of Engineering Applied Sciences and Technology, vol. 5, no. 10, 2021, pp. 44-54.
https://doi.org/10.33564/IJEAST.2021.v05i10.007

R. Ghani, Integration of FMECA and Statistical Analysis for Predictive Maintenance, Journal of Applied Research in Technology and Engineering, vol. 2, no. 1, 2021, pp. 33-37.
https://doi.org/10.4995/jarte.2021.14737

Phadungthin, R., Haema, J., Proposed Risk Model of Maintenance Management for Power Transformer in Transmission System, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 88-96.
https://doi.org/10.15866/iree.v11i1.7703

R. Phadungthin, J. Haema, Maintenance Management for Risk Reduction of High Voltage Transformer, The Journal of Industrial Technology, vol. 11, no. 3, 2015, pp. 1-10.

S. Arumugam, Failure Diagnosis and Root-Cause Analysis of In-service and Defective Distribution Transformers, Energies, vol. 14, no. 4997, 2021.
https://doi.org/10.3390/en14164997

Final report of Working Group 05 of Study Committee 12, An International Survey on Failures in Large Power Transformers in Service, Electra, vol. 88, 1983.

H.S. Solari, B. Majidi, M. Moazzami, Optimal Estimation of Weibull Distribution Parameters in order to Provide Preventive-Corrective Maintenance Program for Power Transformers, Iranian Journal of Electrical and Electronic Engineering, vol. 15, no. 4, 2019, pp. 536-544.

T. Wu, G. Tu, Y. Luo et al., Study on power transformer fault diagnosis method based on fuzzy tree, The 8th International Power Engineering Conference, IPE 2007, 2007, pp. 213-216.

Z. Husain, H. Malik, M.A. Khan, Recent Trends in Power Transformer Fault Diagnosis and Condition Assessment, Bulletin of Electrical Engineering and Informatics, vol. 2, no. 2, 2013, pp. 95-104.
https://doi.org/10.12928/eei.v2i2.211

H.A.A. Issa, M. Qawaqzeh, S. Kurashkin, et al., Monitoring of Power Transformers Using Thermal Model and Permission Time of Overload, International Journal of Electrical and Computer Engineering, vol. 12, no. 3, 2022, pp. 2323-2334.
https://doi.org/10.11591/ijece.v12i3.pp2323-2334

A. Sonsanam, T. Sonsanam, A Study on the Effect of Gap Distance and Brass Electrode Shape to Breakdown Voltage on Transformer Oil, The Journal of Industrial Technology, vol. 18, no. 1, 2022, pp. 22-32.

B. Yssaad, M. Khiat, A. Chaker, Maintenance Optimization for Equipment of Power Distribution System Based on FMECA Method, ACTA Electrotehnica, vol. 53, no. 3, 2012, pp. 218-223.

C. Suwanasri, S. Saribut, T. Suwanasri, R. Phadungthin, Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets, Energies, vol. 14, no. 977, 2021, pp. 1-14.
https://doi.org/10.3390/en14040977

Luzgin, L., Ismagilov, F., Vavilov, V., Valiev, R., Urazbakhtin, R., Modern Methodology for the Design of Advanced Electrical Machines and Electronics Units Based on FMEA Concept, (2021) International Review of Aerospace Engineering (IREASE), 14 (6), pp. 326-337.
https://doi.org/10.15866/irease.v14i6.20632

Ismagilov, F., Vavilov, V., Valiev, R., Urazbakhtin, R., FMEA Application in the Design and Manufacture of Modern and Advanced Electrical Machines, (2021) International Review of Aerospace Engineering (IREASE), 14 (3), pp. 147-158.
https://doi.org/10.15866/irease.v14i3.19644

IEC-60182, Analysis technique for system reliability procedure for failure mode and effects analysis (FMEA), 2006.

MIL-STD-1629A, Procedures for performing a failure mode, effects and criticality analysis, 1980.

K.M.M.A. Fattah, C. Loredana, F. Marco, FMECA analysis for the assessing of maintenance activity for power transformers, Proceedings of Maintenance Performance Measurement and Management (MPMM), 2014.

W.B. Nsanyuy, C.D. Iweh, N.D. Nguti, et al., Application of the FMECA Tool in the Identification of Causes of Faults in Distribution Transformers in Cameroon: Case of the Buea sub-Area Network, International Journal of Engineering Trends and Technology, vol. 70, no. 3, 2022, pp. 75-84.
https://doi.org/10.14445/22315381/IJETT-V70I3P209

M.D. Nardo, T. Murino, G. Osteria, L.C. Santillo, A New Hybrid Dynamic FMECA with Decision-Making Methodology: A Case Study in an Agri-Food Company, MDPI Applied System Innovation, vol. 45, no. 5, 2022 pp. 1-20.
https://doi.org/10.3390/asi5030045

H.S. Solari, B. Majidi, Optimal Estimation of Weibull Distribution Parameters in order to Provide Preventive-Corrective Maintenance Program for Power Transformers, Iranian Journal of Electrical and Electronic Engineering, vol. 15, no. 4, 2019, pp. 536-544.

M.J. Mondro, Approximation of Mean Time between Failure When a System has Period Maintenance, IEEE Transactions on Reliability, vol. 51, no. 2, 2002, pp. 166-167.
https://doi.org/10.1109/TR.2002.1011521

T. Suwanasri, R. Phadungthin and C. Suwanasri, Risk-Based Maintenance for Asset Management of Power Transformer: Practical Experience in Thailand, International Transactions on Electrical Energy Systems, vol. 24, no. 8, 2014, pp. 1103-1119.
https://doi.org/10.1002/etep.1764

T. Suwanasri, C. Suwanasri and R. Phadungthin, Risk Assessment Based on Condition and Importance Criteria for Power Transformer in Thailand Transmission Network, Trans. on Elect. and Electr. Engng., vol. 10, no. 1, 2015, pp. 18-27.
https://doi.org/10.1002/tee.22061

A. Mohsen, P. Khazaee, I. Sabetghadam et al., Failure modes and effects analysis (FMEA) for power transformers, International Power System Conference, Tehran-Iran, 2013.

S. Docki, A. M. Iveline, W. Amal, Power Transformer Failures Evaluation Using Failure Mode Effect and Criticality Analysis (FMECA) Method, Asian Journal of Engineering and Technology, vol. 2, no. 6, 2014.

G. Bongeun, L. Joohee, S. Suwan, et al., Design of Reliability Critical System Using Axiomatic Design with FMECA, International Journal of Naval Architecture and Ocean Engineering, 2019, pp. 11-21.
https://doi.org/10.1016/j.ijnaoe.2017.11.004

G. Pan, D. Li, Q. Li, Y. Li, Y. Wang, Advanced FMECA Method Based on Intuitionistic 2-Tuple Linguistic Variables and the Triangular Fuzzy Analytic Hierarchy Process, Hindawi Wireless Communications and Mobile Computing, vol. 2022, pp. 1-7.
https://doi.org/10.1155/2022/1495934

D. Lee, D. Lee, J. Na, Automatic Failure Modes and Effects Analysis of an Electronic Fuel Injection Model, MDPI Applied Sciences, vol. 2022, 2022, pp. 1-23.
https://doi.org/10.20944/preprints202205.0244.v1


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