Fault modeling is a very important step in making an accurate and reliable 3D geological model. Typical existing methods demand enough fault data to be able to construct complex fault models, however, it is well known that the available fault data are generally sparse and undersampled. In this paper, we propose a workflow of fault modeling, which can integrate multi-source data to construct fau...

With the advent of modern nano-scale technology, it has become possible to implement multiple processing cores on a single die. The shrinking transistor sizes however have made reliability a concern for such systems as smaller transistors are more prone to permanent as well as transient faults. To reduce the probability of failures of such systems, online fault tolerance techniques can be appli...

In software development life cycle (SDLC) testing is very important step. One of the key elements of software quality is testing. Fault detection and removal process is also very important when we are doing testing. In the last 30 years numerous software reliability growth models where developed for fault detection and correction process. Majority of models where developed under static conditio...

Continuously shrinking feature sizes lead to an increasing vulnerability of digital circuits. Manufacturing failures and transient faults may tamper the functionality. Thus, analyzing the fault tolerance of a given implementation becomes an important step in the design process. This can be done by simulation based fault injection which does not cover all potential scenarios or by formal techniq...

In the building energy efficiency field, developing automatic and accurate fault detection and diagnosis methods is necessary in order to ensure optimal operations of systems and to save energy. In this paper first, fault detection analysis based on statistical methods where anomalies are detected through a comparison with neighborhood and averaged fault-free values and through a clustering tec...

Systems with high dependability requirements are increasingly relying on complex on-line fault management systems. Such fault management systems involve a combination of multiple steps – monitoring, data analysis, planning and execution – that are typically independently developed and optimized. We argue that it is inefficient and ineffective to improve any particular fault management step with...

Several approaches for the diagnosis of faults in analog circuits have reasonably accuracy which comes at the cost of heavier processing requirements and lowered efficiencies. In this paper, we propose a time domain based technique for fault diagnosis using specifications extracted from the step response of a circuit. With the help of neural network we have to go for back propagation learning p...

This paper presents a novel approach to interconnect fault location for FPGAs during power-on sequence. The method is based on a concept known as fault grading which utilizes defect knowledge during manufacturing test to classify faulty devices into different defect groups. A Built-In Self-Test (BIST) method that can efficiently identify the exact location of the interconnect fault is introduce...

Some research on sound source estimation by blind source separation (BSS) have been achieved and been satisfactory. On the aspect of sound source identification of rotating machine, some research is been achieved too. How to apply blind source separation to fault character identification and improve veracity of fault diagnosis is the research content of this paper. Based on the principle of min...

Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase t...