Modelling of Equipment Failure Rate Accounting for the Uncertainty

Abstract

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate.Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering analysis of equipment is adopted. The technique proposed has been implemented in an example distribution system for illustration and the results obtained have been compared with those obtained with average model.

Analysis Of The Multi-Channel Three Dimensional Probability Csma Protocol With Monitoring Function For Wsn

“…Since slotted ALOHA (S-ALOHA) and carrier sense multiple access (CSMA) protocols have been proposed, S-ALOHA protocol has been mostly used in cellular networks or satellite networks, where users request uplink resource in the course of signaling, or transmit small-sized data packets sporadically generated [5]. On the other hand, CSMA protocols have been deployed in IEEE 802.11 wireless local area networks (WLAN) and IEEE 802.15 wireless personal area networks (WPAN), in which carrier sensing is effective in small geographical areas with a longer packet transmission time relative to the propagation delay [6][7][8]. Under this circumstance, users may want to know the performance of the system.…”

“…in IEEE 802.11 wireless local area networks (WLAN) and IEEE 802.15 wireless personal area networks (WPAN), in which carrier sensing is effective in small geographical areas with a longer packet transmission time relative to the propagation delay [6][7][8]. Under this circumstance, users may want to know the performance of the system.…”