On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars

Recently, the researchers in the field of transportation network planning have become increasingly interested in network reliability, publishing research works focused on the calculation of various types of network reliability. Calculation of network reliability has led the transportation network optimizers toward new approaches where the maximization of reliability has been considered as an objective. Travel time reliability is among the most important reliabilities investigated when analyzing urban transportation networks, with various approaches based on different assumptions proposed for calculating it. In the present research, the uncertainty associated with the demand for travel and the flows passing across links and also the correlations among the links comprising a route were considered to calculate the travel time for each of the network links. Moreover, it was shown that this process follows shifted log-normal distribution. These calculations are expected to serve as a basis for the employment of travel time reliability within the modeling of an transportation system, so as to increase the accuracy and reliability of the simulations. Finally, in order to validate, an urban network with 12 nodes, 21 links, and 4 origin-destination pairs was subjected to the travel time reliability assessment by calculating the travel time over all forming links.

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“…5. Considering the effects of different uncertainties in the model by handling fuzzy optimization (see for example [57][58][59]).…”

Section: Resultsmentioning

confidence: 99%

Calculation of Urban Transportation Network Reliability Considering Correlation Among the Links Comprising a Route

2020

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“…Moreover, "b" is the parameter related to the time (or position) while "s" indicates the scale and has an inverse relation with the frequency, as below[30]:…”

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confidence: 99%

Detection of the stator inter-turn fault using the energy feature of the wavelet coeffcients obtained through continuous wavelet transform

Hosseini

Abedi

2023

Scientia Iranica

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This research aims to investigate a fault detection method applicable to the stator part of the Brush-Less DC motor (BLDC). Indeed, it is a concern to make sure the motor is operating in a healthy mode, and in any other case, it is of great importance to detect the fault as soon as possible to prevent the further ruin of the major system. Regarding this, a sub-branch method of the Wavelet Transform analysis, named Continuous Wavelet Transform (CWT), is utilized to observe the short-circuit fault in the stator coils. Thus, a novel simulator of the BLDC motor is developed by making an interconnection between ADAMS and MATLAB in which different electrical and mechanical components are included. Therefore, a close-to-reality model of the BLDC motor is achieved, leading to a more accurate evaluation of the proposed method. An energy-type feature will be suggested to characterize the fault happening. Through acquiring the normalized energy amount for one of the wavelet coefficient signals, obtained by the CWT, and comparing the energy with a predefined threshold amount of energy for that signal, it is feasible to detect the stator's flawed performance. By conducting different simulations, the proposed method will be validated.

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“…Slightly different class of methods are the approaches based on aggregation of information at the data level. A vast plethora of applications of fuzzy logic, e.g., [5,30,41] offers an attractive possibility of using fuzzy measure-based constructs to aggregate the classification results.…”

Section: Introductionmentioning

confidence: 99%

Generalized Choquet Integral for Face Recognition

Karczmarek

Kiersztyn

Pedrycz

2017

Int. J. Fuzzy Syst.

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In this study, we introduce a recent multicriteria decision theory concept of a new, generalized form of Choquet integral function and its application, in particular to the problem of face classification based on the aggregation of classifiers. Such function may be constructed by a simple replacement of the product used under the Choquet integral sign by any t-norm. This idea brings forward a broad class of aggregation operators, which can be incorporated into the decision-making theory. In this context, in a series of experiments we compare the most known t-norms and thoroughly examine their performance in the process of combining individual classifiers based either on facial regions or classic face recognition methods. Such kind of generalization can successfully improve the classification process provided that the parameters of the t-norms are carefully adjusted.

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On line trained fuzzy logic and adaptive continuous wavelet transform based high precision fault detection of IM with broken rotor bars

Cited by 19 publications

References 26 publications

Calculation of Urban Transportation Network Reliability Considering Correlation Among the Links Comprising a Route

Calculation of Urban Transportation Network Reliability Considering Correlation Among the Links Comprising a Route

Detection of the stator inter-turn fault using the energy feature of the wavelet coeffcients obtained through continuous wavelet transform

Generalized Choquet Integral for Face Recognition

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