Abstract:
Background: Nowadays, accompanied with the rapid advances in industries and technology, many concerns about the implications of technological development are threatening human life. High application of pressure vessels and their high operational risks indicate the need to identify the hazards and causes assessment of possible incidents. This study was conducted to evaluation of the risk of boiler unit in a textile industry in Qom and in 2015.
Methods: In this study, the operational hazards of a boiler unit were analyzed using Functional Hazard Analysis technique (FuHA). FuHA is one of the system risk analysis methods and is considered as a qualitative technique. This method identifies and analyzes the risks of the system. In fact, the purpose of this technique is to determine the system s risks through functional analysis.
Results: Based on the application of FuHA technique on the selected boiler unit, 26 cases of hazard and functional failure status were identified. From this identified failure 3 cases were unacceptable, 1 1 cases were undesirable, 10 cases were acceptable but needed revision and 2 cases were evaluated as negligible risk finally. In total, for identified hazards, 49 causative factors were identified and determined. Among the identified hazards, failure to perform or inaccurate operation of the boiler valve with a 2A risk index (unacceptable) was identified as the most critical risk in the studied system. This situation can lead to an increase in Boiler pressure, then blasting and financial losses or injuries to individuals and properties.
Conclusion: The obtained results showed that the FuHA technique has a desirable capability to identify and analyze the system and subsystems systemic risk especially the software subsystems. Therefore, this method can be used as one of the strategies for assessing hazards in industrial environments.
Keywords:
Safety, Boiler, Risk assessment, Functional hazard analysis, Textile industry
* Corresponding Author ah
Mohammad Khandan: Qom University of Medical Sciences, Qom, Iran. Email: [email protected] (Khandan M.).
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Abstract
Background: Nowadays, accompanied with the rapid advances in industries and technology, many concerns about the implications of technological development are threatening human life. High application of pressure vessels and their high operational risks indicate the need to identify the hazards and causes assessment of possible incidents. This study was conducted to evaluation of the risk of boiler unit in a textile industry in Qom and in 2015. Methods: In this study, the operational hazards of a boiler unit were analyzed using Functional Hazard Analysis technique (FuHA). FuHA is one of the system risk analysis methods and is considered as a qualitative technique. This method identifies and analyzes the risks of the system. In fact, the purpose of this technique is to determine the system s risks through functional analysis. Results: Based on the application of FuHA technique on the selected boiler unit, 26 cases of hazard and functional failure status were identified. From this identified failure 3 cases were unacceptable, 1 1 cases were undesirable, 10 cases were acceptable but needed revision and 2 cases were evaluated as negligible risk finally. In total, for identified hazards, 49 causative factors were identified and determined. Among the identified hazards, failure to perform or inaccurate operation of the boiler valve with a 2A risk index (unacceptable) was identified as the most critical risk in the studied system. This situation can lead to an increase in Boiler pressure, then blasting and financial losses or injuries to individuals and properties. Conclusion: The obtained results showed that the FuHA technique has a desirable capability to identify and analyze the system and subsystems systemic risk especially the software subsystems. Therefore, this method can be used as one of the strategies for assessing hazards in industrial environments.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Qom University of Medical Sciences, Qom, Iran
2 Shahid Beheshti University of Medical Sciences, Tehran, Iran