Traditional testing methods attempt to maximize the number of single stuck-at faults detected by the test pattern set applied to minimize defective part level after IC manufacture and prior to shipment. However, stuck-at faults no longer map closely to actual defects in current CMOS technologies. This work optimizes the probability of defect detection -in contrast to the stuck-at fault detection.

Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining ...

This paper addresses artificial intelligence and signal processing based online fault detection and identification. Fuzzy logic controller has been utilized for temperature control. Faults often cause undesired reactions, so to keep the system stable and to obtain an acceptable control performance is an important problem for control system design. In this paper, a multiplicative, an additive an...

Abstract: Non-uniformly sampled systems are widely found in industry. In these systems the process output is sampled and the control input is generated at non-uniformly distributed time instants. In this paper, an optimal residual generator is developed for fault detection in non-uniformly sampled systems. In the direct approach used here, the intersample behavior of fault and disturbance is ca...

We present the concept of a multiple-valued logic simulator that is able to more accurately determine the possible behavior of a circuit in the presence of a bridging faults. By a user de ned mapping of a range of voltages to a logic value the simulator takes care of certain voltages more closely than common bridge fault simulators that map all voltages to either logic 1 or 0. Experimental resu...

Acoustic Emissions (AE), generated by the formation and growth of micro-cracks in metal components, provide us with a promising mechanical fault detection technique in monitoring complex-shaped components in helicopters and aircraft. A major challenge for an AE-based fault detection algorithm is to distinguish crack related AE signals from other interfering transient signals, such as fretting r...

in this study, detection and identification of common faults in industrial gas turbines is investigated. we propose a model-based robust fault detection(fd) method based on multiple models. for residual generation a bank of local linear neuro-fuzzy (llnf) models is used. moreover, in fault detection step, a passive approach based on adaptive threshold is employed. to achieve this purpose, the a...

in this paper, the fuzzy system has been used for fault detection and diagnosis of a yeast fermentation bioreactor based on measurements corrupted by noise. in one case, parameters of membership functions are selected in a conventional manner. in another case, using certainty factors between normal and faulty conditions the optimal values of these parameters have been obtained through the genet...