urbanization development followed by increase in travel demand in recent years made some problems for cities such as traffic, lack of suitable parking, environmental issues, economic and social etc. meanwhile, public transport, especially bus services are very important in the development of urban functions thus, paying attention to different aspects of the transport in order to increase its ef...

Downtime caused by equipment failure is the biggest productivity problem in 24-hour a day operations of semiconductor industry. Although some failures are inevitable, increases can be gained if causes detected quickly and repaired, thus reducing downtime. Univariate control charts commonly used to detect failures. However, because complexity process structural characteristics equipment, detecti...

Failure detectors are one of the fundamental components for building a distributed system with high availability. In order to maintain the efficiency and scalability of failure detection in a complicated large-scale distributed system, accrual failure detectors that can adapt to multiple applications have been studied extensively. In this paper, an new accrual failure detector--LA-FD with low s...

Failure detector is one of the fundamental components for building a distributed system with high availability. In order to maintain the efficiency and scalability of failure detection in a complicate largescale distributed system, accrual failure detectors that can adapt to multiple applications have been studied extensively. In this paper, an accrual failure detector — LA-FD with low system o...

The first part of this paper will attempt to point out the principal difficulties inherent to the necessary collection and validation of the needed failure data. The second part will present a survey of the reliability methods and tools presently used at EDF (Électricité de France) to determine reliability parameters and their evolution with age. The conclusion will focus on some priority field...

Humans both operators and managers contribute significantly to functional risk. Thus, even when risk analyses that omit human factors are good predictors of equipment failure, they are likely to be poor predictors of accidents. Engineering risk analysts could benefit from learning about and applying human reliability assessment methods, and risk analyses could benefit from addressing the risks ...

Artificial neural network (ANN) methods have shown great promise in achieving more accurate equipment remaining useful life prediction. However, most reported ANN methods only utilize condition monitoring data from failure histories, and ignore data obtained from suspension histories in which equipments are taken out of service before they fail. Suspension history condition monitoring data cont...