Validity of Exponential Distribution for Modelling Inter-failure Arrival Times of Windows based Industrial Process Control Data Exchange

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

Impact of Differencing and Averaging on Stationary Reliability Predictions

“…There are varieties of techniques for identifying a stationary trend, the few studies do consider the effects of changes for predictions such as Mean time between failure identifications (MTBF). This is more meaningful prediction once the series is independent and identical distributed according to a known classical distribution [1], [2] with a known mean (µ) and variance (σ 2 ) from observations, These studies are where this data is coming from.…”