Browsing by Subject "Fault Detection"
Now showing items 1-15 of 15
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(2019-08-20)The advancement in technology and computational power has enabled large amounts of data collection in real time, which has initiated the "Big Data" era. Big data analytics is playing an essential role in academy, business ...
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(Texas A&M University, 2006-04-12)Recent research has demonstrated the use of electrical signature analysis (ESA), that is, the use of induction motor currents and voltages, for early detection of motor faults in the form of embedded algorithms. In the ...
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(2010-12-03)A data acquisition platform has been previously developed that enables extraction of information about an electrical machine’s health and energy conversion efficiency by monitoring its electrical signals. It is desired to ...
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(2012-10-19)When released into the atmosphere, traditional refrigerants contribute to climate change several orders of magnitude more than a corresponding amount of carbon dioxide. For that reason, an increasing amount of interest has ...
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(Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu), 2012)Heating Ventilation and Air Conditioning (HVAC) system energy consumption on average accounts for 40percent of an industrial sites total energy consumption. Studies have indicated that 20 - 30 percent energy savings are ...
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(2012-07-16)In this dissertation, we proposed solutions on novel sensor deployment and diagnoser design to efficiently detect stochastic faults in PLC based automated systems First, a fuzzy quantitative graph based sensor deployment ...
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(2012-10-29)Electrical Signature Analysis (ESA) has been introduced for some time to investigate the electrical anomalies of electric machines, especially for induction motors. More recently hints of using such an approach to analyze ...
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(2018-08-02)In model-based fault detection, processed input and output time-series data are used to generate models and then perform on-line predictions. Many practical considerations in model-based fault detection systems rule out ...
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(2012-10-19)A complete method for calculating the largest Lyapunov exponent is developed in this thesis. For phase space reconstruction, a time delay estimator based on the average mutual information is discussed first. Then, embedding ...
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(2009-05-15)Continuous condition assessment of induction motors is very important due to its potential to reduce down-time and manpower needed in industry. Rolling element bearing faults result in more than 40% of all induction motor ...
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Interval Principal Component Analysis and Its Application to Fault Detection and Data Classification (2018-01-17)Principal Component Analysis (PCA) is a linear data analysis tool that aims to reduce the dimensionality of a dataset, while retaining most of the variation found in it. It transforms the variables of a dataset into a new ...
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(2012-07-16)The area of systems biology evolved in an attempt to introduce mathematical systems theory principles in biology. Although we believe that all biological processes are essentially chemical reactions, describing those using ...
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(2009-05-15)Analysis of electrical signatures has been in use for some time to assess the condition of induction motors. In most applications, induction motors are used to drive dynamic loads, such as pumps, fans, and blowers, by means ...
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(Texas A&M University, 2005-02-17)The new approach for sensor diagnostics is presented. The approach, Enhanced Autoassociative Neural Networks (E-AANN), adds enhancement to Autoassociative Neural Networks (AANN) developed by Kramer in 1992. This enhancement ...
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(2011-11-12)During the past decade, online shopping has already penetrated into the everyday life as the E-commerce business is growing by leaps and bounds. However, unexpected faults and unplanned downtime of web servers, related to ...