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An Intelligent Fault Diagnosis Approach for Power Transformers Based on Support Vector Machines
DownloadFall 2017
Power transformers are essential for the operations of industrial systems such as metal production plants, and for the transmission and distribution of electricity to end users. Power transformer failures can cause huge loss of production, expensive downtime, significant costs for repair or...
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Development of deep learning-based methods for rotating machinery fault diagnosis under varying speed conditions
DownloadSpring 2023
Rotating machines are widely used in industrial applications, such as driving motors in elevators and gearboxes in wind turbines. Machines in these applications often operate under varying speed conditions due to variable operation demand, ever-changing environment conditions and so on. As time...
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Fall 2022
Gearboxes are key components commonly employed to transfer torque and power and adjust speed in mechatronic systems, such as wind turbines, automobiles, and mining machines. Due to the harsh working environment, various faults may occur in gearboxes. Tooth cracks account for a large proportion of...
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Spring 2016
In network reliability context, it is often assumed that both the components and the systems can take two possible states, completely working or totally failed. However, in many real-world network systems, the component states and the system state can take more than two values. This multi-state...
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Fall 2024
Operated under changing wind speed and harsh environment conditions, the rotating parts in wind turbine gearboxes, such as gears and bearings, will deteriorate and become faulty over time. By conducting real-time and accurate fault detection and diagnosis before significant failures occur, we can...
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Fall 2015
Prognostics in engineering field is dedicated to predicting how long further a component or a system will perform their intended functions before failure. Prognostics is an essential building block in condition based maintenance. Accurate prediction of the component remaining useful life provides...
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Metal Loss Defect Failure Analysis and Prognostics Considering Defect Interactions and Complex Service Conditions
DownloadSpring 2023
Clean energy has attracted intensive attention as the global energy transition is accelerated. Pipelines are significant for achieving large-scale clean energy transportation. Meanwhile, gears are vital components in wind turbines. Metal loss defects are dominant faults of pipelines and gears,...
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Spring 2019
Pipelines have been used for several decades, and threats such as corrosion, fatigue crack and erosion increase the danger of leak or rupture. Faulty pipelines could lead to very expensive downtime and environmental damage. Therefore, it is essential to have effective ways to monitor, evaluate...
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Prognostics and Maintenance Decision-making for Mechanical Systems based on Condition Monitoring Data
DownloadSpring 2024
Condition-based maintenance (CBM) is a maintenance approach that uses condition monitoring data to make maintenance decisions. The goal of CBM is to avoid machine shutdowns, reduce maintenance costs, and improve system safety. In modern mechanical systems, a wide range of sensors are used to...
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Fall 2018
Maintenance management in wind energy industry has great impact on overall wind power cost. Optimizing maintenance strategies can substantially reduces the cost and makes wind energy more competitive among the energy resources. Due to the extreme conditions of remote or offshore sites where the...