Browsing by Advisor
Now showing items 1-20 of 21
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An adaptive neuro-fuzzy controller for vibration suppression of a flexible structure in aerial refueling
(2022)Air-to-air refueling (AAR) has been commonly used in military jet applications. Recently, civilian applications of AAR have been garnering increased attention due to the high cost of air travel, which is largely dictated ... -
Effect of glycerine and water emulsion of diesel-biodiesel blends on engine performance and emissions with EGR
(2018)The globally rising temperatures and its impact on our ecosystem and earth’s natural processes have raised an environmental concern worldwide. The pollution caused due to the burning of fossil fuels has resulted in climate ... -
Effects of various additives on regulated emissions of modern diesel engines
(2017)Increasingly strict emissions regulations along with man-made global warming has peaked interest in clean burning diesel engines. Renewable biofuels such as biodiesel are being investigated to reduce carbon monoxide (CO), ... -
An enhanced Teager Huang transform technique for bearing fault detection
(2021)Rolling element bearings are widely used in rotating machinery. Bearing health condition monitoring plays a vital role in predictive maintenance to recognize bearing faults at an early stage to prevent machinery performance ... -
Evolving neural fuzzy classifier for machinery diagnostics / by Ofelia Antonia Jianu.
(2010)"The classical techniques for fault diagnosis require periodic shut down of machines for manual inspection. Although these techniques can be used for fault diagnosis in simple machines, they can rarely be used effectively ... -
Evolving neuro-fuzzy tools for system classification and prediction
(2008)"Classification and prediction algorithims have recently become very powerful tools to a wide array of real-world applications. Some real world applications include system condition monitoring, bioinformatics, robotics, ... -
Health condition monitoring of civil structures using time varying autoregressive models
(2017)In recent years, there have been an increasing interest in long-term monitoring of civil structures, as the research community has been alarmed by some tragic events and collapses of bridges and buildings that pointed out ... -
A hybrid prognostic approach for battery health monitoring and remaining-useful-life prediction
(2021)Lithium-ion (Li-ion) batteries are commonly used in various industrial and domestic applications, such as portable communication devices, medical equipment, and electric vehicles. However, the Li-ion battery performance ... -
An intelligent monitoring system for online induction motor fault diagnostics
(2019)For more than a century, the induction motor (IM) has been the powerhouse industrial applications such as machine tools, manufacturing facilities, pumping stations, and more recently, in electric vehicles. In addition, ... -
Intelligent sliding mode control in flexible structures
(2012-11-10)The first objective of this work is to develop an intelligent sliding mode controller for vibration control in flexible structures. The proposed control consists of two processes: system identification and sliding mode ... -
An intelligent system for fault diagnosis in gearboxes
(2022)Gearboxes are commonly used in rotating machinery for power transmission. A gearbox consists of shafts, gears, and bearings, each component having specific mechanical dynamics and fault properties. Reliable gearbox fault ... -
An intelligent system for temperature monitoring and brake drum cooling
(2018)Brakes convert the kinetic energy of the moving vehicle into heat energy due to friction between fixed and moving brake parts. Frequent applications of the brakes will cause overheating in brake parts, which could generate ... -
Intelligent systems for active vibration control in flexible engineering structures / by Ji Xiaoxu.
(2008)Vibration arises in almost all moving structures. Vibration control is important to many applications such as robotic arms, aircraft wings, buildings in wind, vehicle transmission systems,to name but a few. The objective ... -
New demodulation techniques for gearbox bearing fault detection
(2018)Nowadays, modern rotating machinery industries such as automotive, aerospace, turbo machinery, chemical plants, and power generation stations are rapidly increasing in complexity and in their everyday operations, which ... -
Novel Hilbert Huang transform techniques for bearing fault detection
(2014-01-22)Bearings are commonly used in rotary machinery; while up to half of machinery malfunctions could be related to bearing defects. A reliable bearing fault detection technique becomes vital to a wide array of industries to ... -
Online condition monitoring and fault detection in induction motor bearings
(2018)Induction motors (IMs) are commonly used in industry. Online IM health condition monitoring aims to recognize motor defect at its early stage to prevent motor performance degradation and reduce maintenance costs. The most ... -
Performance and emissions of a DI diesel engine fueled by different biodiesel blends
(2014-01-22)Biodiesel has been a promising clean alternative fuel to fossil fuels, which reduces the emissions that are released by fossil fuels, and possibly reduces the energy crisis caused by the exhaustion of petroleum resources ... -
Robust control of multi-stage web systems
(2007)Web handling systems are widely used in industries such as pulp and paper, printing press, and steel milling. Tension variations in web materials are very common in operation and tension control is critical to the quality ... -
Self-tuned neuro-fuzzy controller based induction motor drive / by Zhi Rui Huang.
(2007)Among various ac motors, induction motor (IM) occupies almost 90% of the industrial drives due to its simple, robust construction and generally satisfactory efficiency as compared to dc motor. However, the control of IM ... -
A smart monitoring system for bearing fault detection
(2022)Rolling element bearings are commonly used in rotating machinery to support shafts, reduce friction, and increase power transmission efficiency. For a machinery system, bearing fault could be the most possible cause of ...
