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<p>High wall mining machines (HWMs) are found to be one of the essential part for the recovery of coal from unexposed seams without human intervention. Their reliability plays an essential part for maintaining continuous production, operational safety and overall efficiency as these machines operates in harsh &amp; dynamic environment. The study presents Petri net-based reliability modeling frame work for simulating the operational, failed and repaired states of eight critical sub systems associated with HWM. It also recommends targeted maintenance for high-risk subsystems, condition monitoring, component redundancy, and design improvements such as variable frequency drives (VFDs). The model developed using MATLAB utilizes historical failure and repair rates for estimating the performance of the system for a significant operational period. Using Petri net-based reliability modeling frame work, failure probability of cutter head group (CHG) and reel and chain group (RCG) are found to be 0.24 and 0.086. Conversely track group (TG) and push beams group (PBG) shows enhanced reliability results. The modeling presented reflects a good decision making mechanism out of the available alternatives. The obtained results from the model exhibits a dynamic, real-time reliability analysis framework that supports predictive maintenance planning and enhances decision-making in surface mining operations.</p>

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Petri Net Model Analysis for Evaluating the Reliability of Highwall Machines with Eight Subsystems

  • 期刊论文

  • 发表日期：

    2025年9月5日

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  • Mohd Ahtesham Hussain Siddiqui,
  • Piush Raj,
  • Md. Ehtesham Hasan,
  • Biplab Das,
  • Ramesh P. Sah,
  • Saurabh Dewangan

摘要

High wall mining machines (HWMs) are found to be one of the essential part for the recovery of coal from unexposed seams without human intervention. Their reliability plays an essential part for maintaining continuous production, operational safety and overall efficiency as these machines operates in harsh & dynamic environment. The study presents Petri net-based reliability modeling frame work for simulating the operational, failed and repaired states of eight critical sub systems associated with HWM. It also recommends targeted maintenance for high-risk subsystems, condition monitoring, component redundancy, and design improvements such as variable frequency drives (VFDs). The model developed using MATLAB utilizes historical failure and repair rates for estimating the performance of the system for a significant operational period. Using Petri net-based reliability modeling frame work, failure probability of cutter head group (CHG) and reel and chain group (RCG) are found to be 0.24 and 0.086. Conversely track group (TG) and push beams group (PBG) shows enhanced reliability results. The modeling presented reflects a good decision making mechanism out of the available alternatives. The obtained results from the model exhibits a dynamic, real-time reliability analysis framework that supports predictive maintenance planning and enhances decision-making in surface mining operations.