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<p>Faults in mine ventilation systems, such as roadway blockages or damper failures can lead to severe underground disasters. Timely diagnosis and source localization of such faults are crucial for reducing accident risks. This paper proposes a fault diagnosis method for mine ventilation systems, termed FPL-FPSN, by constructing a Petri net-based mapping model to identify fault sources. The method begins by constructing a fault-free Petri net model and analyzing the mine ventilation network topology. It then introduces a simplified T-subnet to narrow the fault detection scope. Finally, the fault source is located using the FPL-FPSN diagnosis approach. To verify the feasibility and effectiveness of this method, fault simulation experiments were conducted on a mine ventilation system in Shanxi. The results showed that the fault location accuracy rate ranged from 86 to 88%.</p>

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Petri Net Based FPL-FPSN Mine Ventilation Fault Diagnosis Method

  • 期刊论文

  • 发表日期：

    2026年3月25日

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  • Wang Yinhui,
  • Yang Min,
  • Deng Lijun,
  • Yuan Keyi,
  • Gao Ke

摘要

Faults in mine ventilation systems, such as roadway blockages or damper failures can lead to severe underground disasters. Timely diagnosis and source localization of such faults are crucial for reducing accident risks. This paper proposes a fault diagnosis method for mine ventilation systems, termed FPL-FPSN, by constructing a Petri net-based mapping model to identify fault sources. The method begins by constructing a fault-free Petri net model and analyzing the mine ventilation network topology. It then introduces a simplified T-subnet to narrow the fault detection scope. Finally, the fault source is located using the FPL-FPSN diagnosis approach. To verify the feasibility and effectiveness of this method, fault simulation experiments were conducted on a mine ventilation system in Shanxi. The results showed that the fault location accuracy rate ranged from 86 to 88%.