and Conclusions This paper is concerned with the analysis of Event Trees where the branch point event causes are defined using Fault Tree structures. Attention is focussed on the non-trivial situation where there are dependencies amongst the branch point events. The dependencies are due to component failure events featuring in one or more of the fault trees. In these situations it is shown that...

Redundancy and inconsistency are universal features of the turbine vibration fault diagnosis. If we can provide a solution to the problem, it should be very meaningful that the fault diagnosis data included redundant and inconsistent information could be used to decision-making rules of fault diagnosis. A novel data mining approach for fault diagnosis of turbine generator unit is proposed based...

Tree rings have frequently been used to identify the effects of earthquakes on forests, but little is known about spatial variation in the response of trees to intraplate normal faulting. This paper documents and describes the effects of tree location (distance from and position above or below the fault scarp), size and age on the response of tree rings to the 1959 magnitude 7.5 Hebgen Lake ear...

This paper turns the concept of input distributions on its head to exploit inverse input distributions Al though such distributions are not true mathematical inverse functions they capture the intuitive property of members that have high frequencies in the origi nal distribution have low frequencies in the inverse distribution and vice versa These new distributions have uses in testing for reli...

This talk will review two case studies that examine the effectiveness of using Fuzzy Top Event Probability (FTEP) over the conventional approach. Case study one relates to flash vessel in an ammonia tank, while in case study two ,using fuzzy set theory, the FTEP has been estimated for the existing ammonia storage tank in a large fertilizer complex located in Mumbai, India. In addition, a new fo...

HSFDONES is an expert system fault diagnosis which makes the fault diagnosis working more intelligently, HSFDONES uses the ontologybased self-leaning theory and technology to build fault diagnosis expert system. The fault diagnosis knowledge structure is defined and the relevant structure ontology and core fault ontology is researched in HSFDONES; the fault diagnosis data warehouse is built, th...

In the Internet of Things (IoT) equipment used for aquaculture is often deployed in outdoor ponds located in remote areas. Faults occur frequently in these tough environments and the staff generally lack professional knowledge and pay a low degree of attention in these areas. Once faults happen, expert personnel must carry out maintenance outdoors. Therefore, this study presents an intelligent ...