An Intelligent Automatic Fault Detection Technique Incorporating Image Processing and Fuzzy Logic

Abstract

Fault detection is considered an important and challenging task to be incorporated in many industrial applications. It has gained interest in recent years, and many techniques have been proposed for developing an effective fault detection approach due to its significant importance in everyday life. This study presents an automated intelligent fault detection technique incorporating image processing and fuzzy logic. Image processing is the first step where features such as entropy estimation, color-based segmentation and depth estimation from gradients are obtained. The extracted features (number of {blobs, minima, maxima}, and estimated entropy) act as input to the fuzzy logic. The subsequent step incorporates fuzzy logic; the four inputs are fed to fuzzy which extract the fault and acts as knowledge rule-based tool and final step, i.e. the output generation, classifies it accordingly into four categories of faults (rust, bumps, hole, wrinkles/roller marks). The proposed method is compared with Linear Vector Quantization, and Multivariate Discriminant Function approaches. The method is tested on a database of 150 images. The proposed method demonstrated its significance and effectiveness with performance accuracy of 99%, 98%, 96.8% and 97.6% for rust, bumps, holes and wrinkles/roller marks respectively.

Real-Time Circuit Breaker Availability Assessment in the Transmission Network

“…Tables 4 and 5 show the characteristics and comparison of this method with the method labeled FLDCB proposed in [17]. FLDCB uses data from monitoring systems and probability calculations based on past data and has been studied regarding this issue.…”

“…Many researchers do not address the problem of diagnosing the breaker state and its availability to perform a function in the likelihood of an undesirable event [10][11][12][13][14]. Only few papers determine the breaker availability or fault section availability using fuzzy logic but not in real-time [15][16][17][18][19]. It is important to note here that there are various methods for measuring phasor voltages or currents, the implementation of which could have high accuracy in determining the available switch states.…”

A fuzzy approach to identify fish red spot disease

“…The FRBAM (Hanafiah et al, 2015;Zhao and Bose, 2002;Becerikli and Karan, 2005;Alshennawy and Ayman, 2009;Patel et al, 2011;Jena et al, 2019;M endez et al, 2019;Mittal et al, 2019;Nasibov et al, 2019;Abut and Soyguder, 2019;Iftikhar et al, 2019) mainly deals with the fuzzy rules that are if-then constraints. It is in the form of "if M then N", where M and N are considered as the premise and consequence of the rule respectively.…”