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The paper presents the capabilities and limitations of fault injection techniques in relevance to dependability analysis.
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Under the circumstance, the superconductive fault current limiter (SFCL) can realize the limitation of the fault current effectively overcoming above shortcomings, because of the characteristic that it can present low impedance in the normal operation and high impedance the in the fault time.
The objective of this study is to develop a fuzzy probability based fault tree analysis to overcome the limitation of fuzzy fault tree analysis.
The application of the superconducting fault current limiters (SFCLs) using magnetic coupling of two coils in a power distribution system is expected to contribute to suppression of bus-voltage sag as well as limitation of a fault current.
However, due to the limitations of the investigated fault data, most previous PSHA has roughly applied the SSZs as the earthquake sources (Shrestha 1987; Warnitchai and Lisantono 1996; Pailoplee et al. 2010; Palasri and Ruangrassamee 2010).
The necessity for stress-free samples is not clearly presented as a prerequisite for the proper estimation of modulus in relevant documents, and thus, researcher must be aware of this limitation to avoid the presentation of fault and misleading data.
This wide variety of fault models indicates a limitation in the ability of presently available techniques for the study of earthquake sources.
Since they were not created by human beings, they were free from the limitations and faults of human beings.
To overcome this limitation, a new methodology for the detection and recovery of fault impulses is presented in this paper.
Hence, it overcomes the limitation of the conventional fault tree analysis for nuclear power plant probabilistic safety assessment.
Those new approaches apply expert judgments to overcome the limitation of the conventional fault tree analysis when basic events do not have probability distributions.
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