Monitoring of a Milk Manufacturing Workshop Using Chronicle and Fault Tree Approaches

Mhalla, Anis; Jerbi, Nabil; Collart-Dutilleul, Simon; Craye, Étienne; Benrejeb, Mohamed

doi:10.24846/v19i4y201005

Cited by 4 publications

(2 citation statements)

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“…Also, it improves the overall performances, like reliability and availability of the large-scale power networks [ 6 ]. At the same time, the monitoring and diagnostic procedures represent main solutions to prevent failures, safely decrease the scheduled maintenance costs, and minimize downtime [ 7 ]. A development of diagnostic and monitoring system for circuit breakers is presented in [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Diagnostic System for Oleo‐Pneumatic Drive Mechanism of High‐Voltage Circuit Breakers

Nicolau

2013

The Scientific World Journal

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Many oil-based high-voltage circuit breakers are still in use in national power networks of developing countries, like those in Eastern Europe. Changing these breakers with new more reliable ones is not an easy task, due to their implementing costs. The acting device, called oleo-pneumatic mechanism (MOP), presents the highest fault rate from all components of circuit breaker. Therefore, online predictive diagnosis and early detection of the MOP fault tendencies are very important for their good functioning state. In this paper, fuzzy logic approach is used for the diagnosis of MOP-type drive mechanisms. Expert rules are generated to estimate the MOP functioning state, and a fuzzy system is proposed for predictive diagnosis. The fuzzy inputs give information about the number of starts and time of functioning per hour, in terms of short-term components, and their mean values. Several fuzzy systems were generated, using different sets of membership functions and rule bases, and their output performances are studied. Simulation results are presented based on an input data set, which contains hourly records of operating points for a time horizon of five years. The fuzzy systems work well, making an early detection of the MOP fault tendencies.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Diagnostic System for Oleo‐Pneumatic Drive Mechanism of High‐Voltage Circuit Breakers

Nicolau

2013

The Scientific World Journal

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“…In recent years, the problem of facial recognition has generated a great deal of research with abundant publications because of its many applications. These include systems for monitoring [22], man-machine interaction [7] and many more.…”

Section: Introductionmentioning

confidence: 99%

A Novel Face Recognition Approach Based on Genetic Algorithm Optimization

Moussa¹,

Hmila²,

Douik³

2018

STUD INFORM CONTROL

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Abstract:In the field of image processing and recognition, discrete cosine transform (DCT) and principal component analysis (PCA) are two widely used techniques. In this paper we present a face recognition approach based on them. Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. It is the most important step that affects the performance of a face recognition system. Genetic Algorithms (GA), one of the most recent techniques in the field of feature selection, are a type of evolutionary algorithms that can be used also to solve this issue. The application of a GA in the resolution of a problem requires the coding of the potential solutions to this problem in finite bit chains in order to constitute the chromosomes coming from a population formed by candidate points. The aim is to find a selective function allowing good discrimination between chromosomes and to define the genetic operators that will be used. In this sense, this approach seeks to develop a system of face recognition using Genetic Algorithm and a DCT-PCA combination for feature selection and dimensionality reduction, to be applied to an archive of images of human faces. The proposed approach is applied on various Face Databases. Experimental results demonstrate the effectiveness of this approach compared to state of the art in face recognition.

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Reliability Analysis of Carbon Capture and Storage Systems

Hamdan¹,

Wang²

2022

2022 Annual Reliability and Maintainability Symposium (RAMS)

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Monitoring of a Milk Manufacturing Workshop Using Chronicle and Fault Tree Approaches

Cited by 4 publications

References 10 publications

Fuzzy Diagnostic System for Oleo‐Pneumatic Drive Mechanism of High‐Voltage Circuit Breakers

Fuzzy Diagnostic System for Oleo‐Pneumatic Drive Mechanism of High‐Voltage Circuit Breakers

A Novel Face Recognition Approach Based on Genetic Algorithm Optimization

Reliability Analysis of Carbon Capture and Storage Systems

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