The rapid expansion of wind farms has drawn attention to operations and maintenance issues. Condition monitoring solutions have been developed to detect and diagnose abnormalities of various wind turbine subsystems with the goal of reducing operations and maintenance costs. This paper explores fault data provided by the supervisory control and data acquisition system and offers fault prediction...

This article through to the analysis of the traditional vehicle fault diagnosis instrument, and research the related theory and characteristics of cloud computing and related core technology, put forward the vehicle fault diagnosis instrument based on cloud computing, it will store all the data in the cloud that the fault diagnosis required for, and do a big data parallel computing in the cloud...

Fault management in distribution systems lacks effective solution because of the unavailability of sufficient measurement data and comprehensive tools for fault analysis. To improve fault management, a systematic approach that takes advantage of distribution-level Smart Grid technologies is proposed. The new approach executes very accurate fault locating first, and then advices system operators...

The error that a wrong treatment plan be delivered was very serious. We vigorously explore effective method to analyze the factors which lead to this error, thus effectively improves radiotherapy quality. Fault tree analysis has been used for radiotherapy planning errors analysis in this study. After a fault tree was constructed from top to bottom then import the reliability data of basic event...

We like to introduce fQuantum, a Quantum Computing Fault Simulator and new quantum computing fault model based on Hadamard, PauliX, PauliY and PauliZ gates, and the traditional stuckat-1 SA1 and stuck-at-0 SA0 faults. We had close to 100% fault coverage on most circuits. The problem with lower coverage comes from function gates, which we will deal with, in future versions of this paper. Keyword...

When a fault occurs in a power system, the protective relays detect the fault and trip appropriate circuit breakers, which isolate the affected equipment from the rest of the power system. Fault diagnosis of power systems is the process of identifying faulty components and/or sections by analysing observable symptoms (telemetry messages). As the domain itself is characterised by dynamic situati...

Power transformer is one of the most important equipments in the electric system. Dissolved Gases Analysis is an important method in the diagnosis of internal fault of transformers. Because the signs and types of fault have complicated nonlinear relations, the traditional methods cannot exactly meet the requirements of engineer application. This paper proposes synthesis of relational grey incid...

Many model-based fault diagnosis approaches have been proposed so far and some of them are applied in industrial practice. But for modern complex processes, due to the variable nature of faults and model uncertainty, no single approach can diagnose all faults and meet different contradictory criteria. In this paper, the importance of integration of different fault diagnosis schemes in a common ...

We propose a theory of how individuals diagnose faults, and we report two experiments that tested its application to the diagnosis of faults in simple Boolean systems. Participants were presented with simple network diagrams in which a signal was transmitted from a set of input nodes to an output node, via a set of connecting nodes. Their task was to detect and diagnose faults. Experiment 1 sho...

As a new general machine-learning tool based on structural risk minimization principle, Support Vector Machines (SVM) has the advantageous characteristic of good generalization. For this reason, the application of SVM in fault diagnosis field has becomes one growing reach focus. In this paper, data fusion strategy based on multi-class SVMs is proposed to diagnose the gear fault. The fault featu...