Reliability theory is a complex science related directly to engineering, science and economics. Reliability is theoretically defined as the probability of success or the frequency of failures. Reliability engineering deals with the estimation, prevention and management of high levels of lifetime engineering uncertainty and risks of failure. At present, not only engineers and scientist but also government leaders are concerned to increase the reliability of manufactured goods. We at one of the best universities in Jaipur, JK Lakshmipat university believe that failure prediction can be improved if reliability modeling is integrated in the field of Civil engineering, Mechanical engineering, Computer Science engineering and many more. In order to solve many of engineering problems those arise in reliability theory, the methods of probability theory has been used. Reliability theory introduces quantitative indices of quality of production. Reliability engineering has both
aspects; measurements of reliability are necessary for customer requirements compliance. However measuring reliability does not make a product reliable, only by designing in reliability can a product achieve its reliability targets.
Civil engineering facilities such as bridges, buildings, power plants, dams and offshore platforms are all intended to contribute to the benefit and quality of life. Therefore when such facilities are planned it is important that the civil engineers take care of reliability attributes.
In mechanical engineering, to increase the reliability of mechanical equipment’s; the life time distribution namely Weibull distribution has been used by many mechanical engineers.
Hardware and software reliability engineering have many concepts with unique terminology and many mathematical/ statistical expressions. Reliability of combined hardware and software system is in many ways analogous to reliability modeling of purely hardware system. The hardware and software computer systems directly or indirectly have a significant impact on human life. To avoid the failures and faults, the reliability of the hardware and software needs to be predicted during the design and development phases.
This blog is an overview of reliability engineering and therefore it gives an appreciation for the topic. It is not expected to be a reliability-engineering manual but gives a flavor for the importance of the topic and how it fits into the design and development of a product for various applications.
About the Author:
Richa Sharma received her M. Sc. and Ph. D. degrees in Mathematics from Dr B. R. Ambedkar University, Agra. She was awarded for the “Certificate of Merit” and “Best Paper Presentation Award” in international conference on “2015 IAENG International Conference on Operations Research” held at Hong Kong during 18-20 March, 2015 and in annual conference of “Vijnana Parishad of India” and “The Global Society of Mathematical & Allied Sciences” held at Meerut during 24-26 March, 2011, respectively. She was appointed as reviewer of many reputed international journals. She has six years of research and teaching experience. Her research area includes queueing theory, probability theory, reliability theory stochastic modeling and optimization. She has published twenty two research papers in refereed International/National journals. She has participated and presented her research papers in twenty four International/National conferences and workshops.