Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to
1College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China.
Sensors (Basel, Switzerland)
|November 13, 2021
Summary
This study developed a new risk assessment for mining hydraulic support failures. It identifies key failure events like jack leakage, crucial for preventing accidents.
Area of Science:
- Mining Engineering
- Risk Management
- Systems Safety
Background:
- Hydraulic supports are vital in mining but pose risks of fatal accidents.
- Understanding and mitigating hydraulic support failure is critical for operational safety.
Purpose of the Study:
- To establish a composite risk-assessment method for hydraulic support failure in the mining industry.
- To identify key basic events and understand the evolution mechanism of hydraulic support failure.
Main Methods:
- Fault Tree Analysis (FTA) and Gray Relational Analysis (GRA) to identify basic events.
- Chaos theory, synthetic theory model, and Layer of Protection Analysis (LOPA) to analyze failure evolution.
- Proposed Fussell-Vesely-Xu importance (FVXI) for comprehensive risk assessment.
Main Results:
- Identified key basic events and their importance using FTA and GRA.
- Demonstrated that hydraulic support failure results from subsystem interactions with chaotic characteristics (butterfly effect).
- Analyzed jack leakage as a key event using LOPA and identified Independent Protection Layers (IPLs).
Conclusions:
- The developed risk assessment method provides a foundation for practical accident prevention strategies.
- Understanding the complex, chaotic nature of failure evolution is essential for effective safety measures.
- Identifying and protecting against key basic events like jack leakage is crucial for mining safety.
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