Reliability Meets Big Data: Opportunities and Challenges

Abstract

Reliability field data such as that obtained from warranty claims and maintenance records has been used traditionally for such purposes as generating predictions for warranty costs and optimizing the cost of system operation and maintenance. In the current (and future) generation of many products, the nature of field reliability data is changing dramatically. In particular, products can be outfitted with sensors that can be used to capture information about how and when and under what environmental and operating conditions products are being used. Today some of that information is being used to monitor system health and interest is building to develop prognostic information systems. There are, however, many other potential applications for using such data. In this paper we review some applications where field reliability data are used and explore some of the opportunities to use modern reliability data to provide stronger statistical methods to operate and predict the performance of systems in the field. We also provide some examples of recent technical developments designed to be used in such applications and outline remaining challenges. AbstractReliability field data such as that obtained from warranty claims and maintenance records has been used traditionally for such purposes as generating predictions for warranty costs and optimizing the cost of system operation and maintenance. In the current (and future) generation of many products, the nature of field reliability data is changing dramatically. In particular, products can be outfitted with sensors that can be used to capture information about how and when and under what environmental and operating conditions products are being used. Today some of that information is being used to monitor system health and interest is building to develop prognostic information systems. There are, however, many other potential applications for using such data. In this paper we review some applications where field reliability data are used and explore some of the opportunities to use modern reliability data to provide stronger statistical methods to operate and predict the performance of systems in the field. We also provide some examples of recent technical developments designed to be used in such applications and outline remaining challenges.

Improving the system of warranty service of trucks in foreign markets

“…A similar approach to the formation of arrays of initial information is suggested in the paper [4]. The article shows that to collect information about how, when, and under what environmental parameters and the conditions in which they use the product, can be used in various sensors, which are installed on the product.…”

Lifetime prediction of vehicle components using online monitoring data

“…As an actual analysis case, Meeker and Hong (2014) described several products in which online monitoring data were used for reliability purposes. This study dealt the data of usage conditions as the SOE (System Operating and Environmental) data, and has stated the importance of these data as the information that indicating the sign of failure or deterioration.…”

IN2CLOUD: A novel concept for collaborative management of big railway data

“…The extensive use of information and communication technologies (ICT) has led to the advent of big data, as well as big reliability data (Meeker and Hong, 2014) and big maintenance data Zhang et al, 2017) in the field of maintenance. In the railway industry, unprecedented rates and scales of data are being generated by a wide array of sources, including sensor-intensive condition monitoring systems, enterprise asset management systems, enterprise resource planning systems, computerized maintenance management systems, and supervisory control and data acquisition systems (Karim et al, 2016;Thaduri et al, 2015).…”