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The application of machine learning to software fault injection data has been shown to be an effective approach for the generation of efficient error detection mechanisms (EDMs). However, such approaches to the design of EDMs have invariably adopted a fault model with a single-fault assumption, limiting the practical relevance of the detectors and their evaluation. Software containing more than a...
Voltage dips are significant threat for distributed generation (DG) connected via grid-tie inverter to the power system. Fast detection of voltage dips is essential for proper operation of the DGs. The paper presents an overview of different methods for their detection. The dips can be traced by appearance of voltage harmonics. Therefore, categorization of harmonics estimation techniques is given...
A real – time fire and explosion detection system is presented in this paper. The data being used was acquired by a Wireless Sensor Network, residing in a room. Noise is first rejected from the acquired samples, using an appropriate filter. Next, a model of the stochastic process is computed in real time using a robust – adaptive method. It will be used to predict the temperature's future evolution...
Roller element bearings are a common component and crucial to most rotating machinery; their failure makes up around half of the total machine failures, each with the potential to cause extreme damage, injury and downtime. Fault detection through condition monitoring is of significant importance. This paper demonstrates bearing fault detection using widely accessible consumer audio tools. Audio measurements...
This work considers the problem of change detection of working regimes from industrial processes, e.g. electric machines with rotation elements, and which generates mechanical vibrations. Two approaches are considered: (i) based on signal processing and pattern recognition methods; (ii) based on sparse methods. The objective of the paper is to evaluate the preliminary results obtained by the above...
The paper deals with the advanced detection and diagnostics of physical hardware modules of remote laboratories based on the Internet School Experimental System (ISES) platform. Interested students can use the ISES remote laboratory for experimenting as a unique educational tool to understand the desired phenomena. This is particularly useful for distant students, whom are often not enabled frequent...
This study paper proposes Geo-Intelligence based algorithmic development of fiber fault localization system (FFLS) for rural India. This research is to support fiber fault localization for 2, 50,000 Gram Panchayats (GP) under Govt. Of India NOFN (National Optical Fiber Network) project. In absence of basic infrastructure facilities in rural areas e.g. approaching road etc., the biggest challenge for...
This paper presents a combinational-logic-based approach for identifying faults that could occur in power electronic components of an electric vehicle inverter. A real-time simulation model of an electric vehicle is used to study the behavior of available sensor signals and control commands, with specific measured quantities, during vehicle operation. Those quantities could be, but are not limited...
Chapter 7 firstly depicts status of single event effect (SEE) concerns/problems in various industry fields, emphasizsing the SEE impacts are spreading very rapidly and widely in industries and everyday lives. Prediction and detection techniques have primary importance to cope with the problems and screening studies are made for those techniques in each engineering layer. To establish mitigation techniques,...
In this paper one will develop the faults detection and isolation method using an adaptive residual generator (with one input, two outputs and two residues), in order to emphasize the noises, disturbances and faults on the outputs L1 and L2 of the control level plant with two coupled reservoirs “Quanser Water Level Control Two Reservoir Module”. The proposed method was theoretically developed and...
In this paper, we have introduced a new technique based on simultaneous analysis of output voltage gain vs. frequency and phase vs. frequency for fault testing of analog integrated circuits. An automated test frequency generation method is demonstrated here to select minimum number of test frequencies as stimuli. The introduced technique is applied to three benchmark circuits and the obtained results...
NSTX at Princeton Plasma Physics Laboratory (PPPL) requires sophisticated plasma positioning control system for stable plasma operation. TF magnetic coils and PF magnetic coils provide electromagnetic fields to position and shape the plasma vertically and horizontally respectively. NSTX utilizes twenty six coil power supplies to establish and initiate electromagnetic fields through the coil system...
In this paper, the artificial neural network (ANN) inputs selection for detecting and quantifying the progressive value of an incipient defect in gears is carried out by experimental design evaluation. Several parameters in time-domain (root mean squared, crest factor, energy ratio, FM0, Kurtosis, FM4, NA4, M6A, NB4) and multiscale Hilbert-wavelet transformations are evaluated as a possible inputs...
Previously, a minimal algorithm of length 70 N, N is the number of memory bits, was proposed for a subclass of dynamic faults. In this paper, a March-based fault location and full diagnosis algorithm of complexity 88 N+29 is proposed for the same subclass of dynamic faults in bit-oriented SRAMs.
The aim of this paper is to detect the faults in industrial systems, through on-line monitoring. The faults that are concerned correspond to changes in frequency components of the signal. Thus, early fault detection, which reduces the possibility of catastrophic damage, is possible by detecting the changes of characteristic features of the signal. This approach combines the filters bank technique,...
In this paper combinatorial schemes of control permutation blocks are considered. Some problems of detection and localization of faults in off-line mode have been solved. In particular, The results obtained establish high bounds for complexity of fault checking and localization in off-line mode for a wide class of hardwire implementations of high-speed block ciphers.
The aim of this paper is to propose a method for the detection of faults in industrial systems, such as electrical machines and drives, through on-line monitoring system. Early fault detection, which reduces the possibility of catastrophic damage, is possible by comparing the measured signals with a database that contains characteristic signals for machines operating with and without faulty conditions...
This paper presents a detailed study of the rotor asymmetry, caused by broken bars, and their effects on the stator current of an induction machine under different supply conditions. The analytical models dedicated to the rotor faults are often penalized by simplifying assumptions, particularly the distribution of the magnetic flux density in the air-gap. The important information is likely to be...
The stator-rotor-hybrid fault in squirrel cage induction motors, which means that rotor bar breaking fault and stator winding inter-turn short circuit fault occur simultaneously, has been investigated based on the motor multi-loop model. The results indicate that the features of rotor bar breaking fault and stator winding inter-turn short circuit fault always interlace and interact to some extent...
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