No abstract

 Investigates failure arrivals in a Windows Industrial Workshop Communication environment  Among the rare observations for failure arrival times. Exponential can be used with reasonable error that paves way for Markovian Analysis.Using a reliability function with a known classical distribution, at an instance in time, the chances of an activity success can be predicted. Based on this curve, a proper reset period can be appointed. This would help to keep the risk under control. For this purpose, a test bed mimicking the machine to machine (M2M) communication of a Digital Oil Rig is employed. It contains an Embedded Computer Server and an ordinary computer acting as a client querying data from the server. On this testbed, as the communication protocol Open Platform Communications -Unified Architecture (OPC UA) is run. In "most occasions, the arrival processes are assumed as a Poisson Arrival Process. The Question of a concern: "Is this assumption valid in case of an Embedded Computer responding to queries?". Our results indicate that the failure arrivals are independent identically distributed (IID) and can be modeled with an Exponential Distribution by accepting a reasonable error. Figure A. or Table A The name figure or table about given info and results

 Investigates Reliability vs Load in Window Computer  Processor consumption been investigated in literature but "Reliability vs. Load" is rarely investigated.  Measures reliability of Data History Polls and monitoring  Such a reliability vs. load is observed on physical mockup, findings are hard to predict and close to actual scenarios.Reliability is an important criterion for the applications, especially when there are humans involved in the activity. There are a limited number of works addressing the reliability concerns of a digital industrial plant scenario with machine to machine (M2M) communications. Results on a windows embedded platform are rare as well. In this paper, we investigate the suitability of such devices for presenting the data of a digital oil rig to the humans within the scope of the TÜBİTAK KAMAK Project. There can be two types of reads.A simple one regarding current values of observed variables. Also, a period of their occurrences can be recalled, referred to as a Historic read. An algorithm can consider both techniques. Our observations indicate: the simple reads are more resilient than the historical ones that represent past data of a readable variable. Figure A. The name figure or table about given info and results

No abstract