Journal of Engineering Research

The reliability of coal mine ventilation systems directly impacts production safety and operational efficiency. To address issues such as high equipment failure rates and insufficient redundancy design in existing systems during high-load operations, this study proposes an integrated approach combining reliability assessment with redundancy design optimization. First, reliability modeling is conducted for key components using fault tree analysis (FTA) and Markov models to quantify failure probabilities under various operating conditions. Second, multi-objective optimization methods are employed to adjust redundancy configurations for fans, air ducts, and control systems, balancing investment costs while reducing failure risks. Finally, simulation results validate the effectiveness of the optimized solution, demonstrating significant improvements in system stability and safety.

Coal mine ventilation systems; Reliability assessment; Redundancy design; Optimization methods