Case Study on Fault Tree Analysis

The Fault tree analysis is an analysis of deductive failure through which a system which is undesired is analyzed through the Boolean logic by combining a series of lower-level events. The analysis method of such is being used in the fields of protection engineering and dependability engineering for understanding the ways through which a system can fail, identifying and recognizing the best probable ways for reducing risks (Dunscombe, 2015). The FTA is generally being used in nuclear power, pharmaceutical and aerospace and industries which are generally hazardous. It is a process through which a skill is being broken into smaller steps for teaching a skill. As the small steps gets mastered, the learner becomes more self-governing in her ability for performing the larger skill The Fault Tree Analysis as depicted in the article is easy to understand. This method can also be defined as a backward method which can be used in thinking about the consequences which may take place (Jonas et al ., 2016). It has been a useful method and has been used over the years in industries which are having social and environmental problems and estimation of frequency failure (Doytchev & Szwillus, 2009). This method has the capability of handling the multiple failures or even the combination of failures. FTA has the ability to accommodate human error in analysis as compared to FMECA. FMECA will only take into account the components possible failure without taking into account the external environment playing a vital role in risk analysis. However, human error can be very random, which is not possible to predict and nearly impossible to in assigning a concrete value of such an error. FTA has the ability to calculate Mean Time to failures or Mean Time between failures. Information of such can be found as failure rates for basic events. Moreover task analysis has been beneficial in breaking down complex task structures and offering credentials for the mental and physical demands of the employees. The nature of data which has a bit of uncertainty can only be attained through conditions that are experimented strongly. Moreover, FTA is not concerned about the effect of failure and only aims to focus on events that could ease the failure. Moreover, FTA is often seen as a cover for human error but gets forgotten amidst the analysis. Activities involving human contribution of an operation should be considered as a treat that has the capability of triggering failure (Kabir et al., 2016). It can take into account the things that can trigger a failure but not the failure effect. Moreover, with task analysis it can only be conducted after the completion of fault tree analysis. Complication only gets increased in case of task analysis with the increase in the number of respondents and data that is being collected. A study of determining the failure of occurrence through FTA in the crushing and mixing of bed hall department at the province of Iran. The analyst assumed ‘failure in factory’ as the main event. There were 6 branches comprising of crushing, mine, raw mill, cement mill and burning and packing house departments. The focus is only on the crushing n admixing bed hall department. A fault tree analysis depicts that the crushing and mid mixing bed hall department is being divided into crusher system and mixing ball system and conveyor belt system. Several sub systems have also being identified. All this sub systems are connected to top event with gate logics 1, 2 and 3. And in the last stage the basic events are being taken into account by codifying circle symbols at last levels. Fig1. Fault Tree Analysis of crushing and mid mixing bed hall department Dunscombe, P. (2015). TU-AB-BRD-03: Fault tree analysis.  Medical Physics,  42(6), 3585 Jonas, J. A., Devon, E. P., Ronan, J. C., Ng, S. C., Owusu-McKenzie, J. Y., Strausbaugh, J. T., . . . Hart, J. K. (2016). Determining preventability of pediatric readmissions using fault tree analysis: Readmission analysis using fault tree.  Journal of Hospital Medicine,  11(5), 329-335. doi:10.1002/jhm.2555 Kabir, S., Walker, M., Papadopoulos, Y., Rà ¼de, E., & Securius, P. (2016). Fuzzy temporal fault tree analysis of dynamic systems.  International Journal of Approximate Reasoning,  77, 20-37. doi:10.1016/j.ijar.2016.05.006 Doytchev, D. E., & Szwillus, G. (2009). Combining task analysis and fault tree analysis for accident and incident analysis: A case study from bulgaria.  Accident Analysis and Prevention,  41(6), 1172-1179. doi:10.1016/j.aap.2008.07.014