International Journal of Advanced Technology and Engineering Exploration ISSN (Print): 2394-5443    ISSN (Online): 2394-7454 Volume-13 Issue-137 April-2026
  1. 4037
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  2. 2.7
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Development of a decision-support system for maintenance of a double-row single-stage steam turbine

Ikhwansyah Isranuri1, Sahlul Mahfud Prasojo1 and Abdul Munir Hidayat Syah Lubis2

Department of Mechanical Engineering,Faculty of Engineering, Universitas Sumatera Utara, Jl. Almamater Kampus USU,Medan, 20155,Indonesia1
Department of Mechanical and Mechatronics Engineering,Faculty of Engineering Technology and Science, Higher Colleges of Technology, HCT - RAK Campus, Sultan Al Kabeer Rd., Ras Al Khaimah, P.O. Box 4792,United Arab,Emirates2
Corresponding Author : Ikhwansyah Isranuri

Recieved : 23-October-2025; Revised : 14-April-2026; Accepted : 16-April-2026

Abstract

A structured web-based decision-support system is proposed to enhance maintenance engineering for a double-row, single-stage steam turbine. The system integrates root cause analysis (RCA), availability analysis, failure mode and effects analysis (FMEA), and reliability modelling to determine appropriate maintenance actions within a sustainability-oriented framework. Operational data are analyzed using thermodynamic principles to establish a theoretical reference condition. The outputs from availability, FMEA, and reliability analyses are subsequently synthesized through RCA. A functional modelling approach based on structured analysis and design technique (SADT) and integration definition for function modelling (IDEF0) is employed to systematically organize maintenance analysis and decision-making workflows. Based on these analyses, prioritized maintenance actions are formulated to mitigate failure recurrence. A scenario-based evaluation demonstrates a reduction in administrative workload through automated documentation workflows. The system is implemented using a web-based architecture that enables distributed data access and incorporates centralized data storage and backup mechanisms to enhance data consistency.

Keywords

Decision-support system, Steam turbine maintenance, Root cause analysis (RCA), Failure mode and effects analysis (FMEA), Reliability modelling, Web-based architecture.

Cite this article

Isranuri I, Prasojo SM, Lubis AMHS. Development of a decision-support system for maintenance of a double-row single-stage steam turbine. International Journal of Advanced Technology and Engineering Exploration. 2026;13(137):634-665. DOI : 10.19101/IJATEE.2025.121221403

References

[1] https://www.rainforest-alliance.org/for-business/certification/?gad_source=1&gad_campaignid=23102644074&gbraid=0AAAAADJ4Zlhg7d_LIfCz_kXadzWsaUkgS&gclid=Cj0KCQjwkYLPBhC3ARIsAIyHi3QJnMe3XDHuetKurTUWQcZlbduewpAffuTK7ptZ4NZsh7KvY0DUfF4aAoV5EALw_wcB. Accessed 21 January 2026.

[2] https://web.pln.co.id/statics/uploads/%20/07/Statistik-PLN-2024-Audited-Indo-Eng-Final-Compressed-update-sheet.pdf. Accessed 21 January 2026.

[3] https://gapki.id/news/2025/12/19/produksi-cpo-naik-10-ekspor-sawit-capai-us-329-miliar-di-oktober-2025/. Accessed 21 January 2026.

[4] Saleh N, Yasir PM, Mohd RJ. System of predictive maintenance in palm oil mill. In 6th Asia Pacific international conference on industrial engineering and operations management 2025 (pp. 461-74). IEOM Society.

[5] Afraah SM. Analysis of machine effectiveness to minimize six big losses in the palm oil industry. Semesta Teknika. 2025; 28(1):1-11.

[6] Nainggolan R, Sibarani M, Bangun P, Sibarani B, Sutrisno J. Efficiency optimization of a steam power plant output 800 kw using shell and fiber fuel at palm oil mill PTPN IV air batu. Journal of Information Technology, Computer Science and Electrical Engineering. 2025; 2(3):135-42.

[7] Zheng M, Man J, Wang D, Chen Y, Li Q, Liu Y. Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data. Reliability Engineering & System Safety. 2023; 235:109235.

[8] Zio E, Miqueles L. Digital twins in safety analysis, risk assessment and emergency management. Reliability Engineering & System Safety. 2024; 246:1-13.

[9] Jukić P, Guzović Z, Rašković P, Lončar D. Efficiency enhancement of heat supply steam turbines. Applied Thermal Engineering. 2025; 279:127524.

[10] Mohammed A, Alshamrani T, Alshibani A, Ghaithan A, Attia AM. Enhancing the reliability of steam turbine-driven air blowers in industrial processing units: a maintenance-centric approach. Journal of Quality in Maintenance Engineering. 2026:1-32.

[11] Putra BA, Aipassa MI, Ruslim Y, Siahaya ME. Corporate environmental compliance and sustainability in palm oil plantation activities. Jurnal Bisnis Kehutanan dan Lingkungan. 2025; 3(1):1-7.

[12] Dong E, Zhan X, Yan H, Tan S, Bai Y, Wang R, et al. A data-driven intelligent predictive maintenance decision framework for mechanical systems integrating transformer and kernel density estimation. Computers & Industrial Engineering. 2025; 201:110868.

[13] Koornneef H, Verhagen WJ, Curran R. A web-based decision support system for aircraft dispatch and maintenance. Aerospace. 2021; 8(6):1-19.

[14] Sharma J, Mittal ML, Soni G. Condition-based maintenance using machine learning and role of interpretability: a review. International Journal of System Assurance Engineering and Management. 2024; 15(4):1345-60.

[15] Jenab K, Ward T, Isaza C, Ortega-moody J, Anaya K. Intelligence based condition monitoring model. In international congress and workshop on industrial AI 2023 (pp. 639-50). Cham: Springer Nature Switzerland.

[16] Abd WNH, Hasikin K, Lai KW, Xia K, Bei L, Huang K, et al. Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. PeerJ Computer Science. 2024; 10:e1943.

[17] Kandemir E, Hasan A, Kvamsdal T, Abdel-afou AS. Predictive digital twin for wind energy systems: a literature review. Energy Informatics. 2024; 7(1):1-36.

[18] Elkasrawy NH, Farouk HA, Youssef YM. Maintenance optimization based on modified FMECA: a case study applied to a spinning factory. International Journal of System Assurance Engineering and Management. 2025; 16(1):73-88.

[19] Sastriawan A. Penjadwalan pemeliharaan mesin produksi menggunakan reliability centered maintenance. Jurnal Teknologi. 2024; 14(1):26-35.

[20] Rahmawati N, Aldiansyah M, Yuliawati E, Trihastuti D. Application of overall equipment effectiveness and failure mode efffect and criticality analysis methods to improve machine performance effectiveness. Tibuana: Journal of Applied Industrial Engineering. 2023; 6(2):89-97.

[21] Li N, Aksoy M, Nutakki TU, Singh PK, El-shorbagy MA, Dahari M, et al. Development of a modified gas turbine-based sustainable power generation and water treatment system; Economical/environmental considerations and data-driven optimization. Journal of Cleaner Production. 2024; 450:141904.

[22] Allahkarami Z, Skoogh A. Environmental impacts of production disturbances in manufacturing from an OEE perspective. Procedia CIRP. 2025; 134:331-6.

[23] Ghaleb M, Taghipour S. Assessing the impact of maintenance practices on asset's sustainability. Reliability Engineering & System Safety. 2022; 228:108810.

[24] Kadhum AA, Hameed HA. The Effect of green maintenance on environmental performance applied research in the general company for oil products. Management and Production Engineering Review. 2023; 14(3):82-97.

[25] Ahmed F, Robinson S, Tako AA. Using the structred analysis and design technique (SADT) in simulation conceptual modeling. In proceedings of the winter simulation conference 2014 (pp. 1038-49). IEEE.

[26] https://claim.ub.tu-clausthal.de/search?q=id%3A472430939. Accessed 18 March 2026.

[27] P. Shlyakhin. Steam Turbines: Theory and Design. University Press of the Pacific, 2005.

[28] Bevilacqua M, Braglia M. The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering & System Safety. 2000; 70(1):71-83.

[29] Doggett AM. Root cause analysis: a framework for tool selection. Quality Management Journal. 2005; 12(4):34-45.

[30] Sakdiyah SH, Eltivia N, Afandi A. Root cause analysis using fishbone diagram: company management decision making. Journal of Applied Business, Taxation and Economics Research. 2022; 1(6):566-76.

[31] Haar L. NBS/NRC steam tables. CRC Press; 1984.

[32] British Standart. BSI standards publication- failure modes and effects analysis (IEC 60812:2018).” BSI Standards Limited, British. 2018 (pp. 1–77).

[33] https://www.aiag.org/training-and-resources/manuals/details/FMEAAV-1. Accessed 21 January 2026.

[34] https://sumut.bps.go.id/id/publication/2023/12/29/f4ae293a00083e99a739dce8/direktori-perusahaan-perkebunan-kepala-sawit-provinsi-sumatera-utara-2022.html. Accessed 21 January 2026.