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Skip to Search Results- 14Fault Detection
- 3Machine Learning
- 2Fault Diagnosis
- 2Process Monitoring
- 2Rotating Machinery
- 1Adaptive Sampling
- 1Arifin, B M Sirajeel
- 1Bahador Rashidi
- 1Choudhury, M. A. A. Shoukat
- 1Gonzalez, Ruben T
- 1Hajizadeh, Mohammad
- 1Halim, Enayet B.
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Fall 2014
While there has been much literature in the area of system monitoring and diagnosis, most of these techniques have a relatively small scope in terms of the faults and performance issues that they are built to detect. When implementing several monitors simultaneously on a single process, a single...
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Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and Gearboxes
DownloadFall 2012
Fault diagnosis plays an important role in the reliable operation of rotating machinery. Data-driven approaches for fault diagnosis rely purely on historical data. Depending on how a diagnosis decision is made, this thesis divides data-driven fault diagnosis approaches into two groups:...
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Fall 2016
Nowadays, industrial processes are becoming highly complex and integrated due to the applications of advanced distributed control systems. As multiple production units with thousands of actuators are operating at the same time, the reliability issue of process plants naturally arises. To ensure...
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Spring 2020
As the process control industry and production lines become highly complex and significantly invested with high-dimensional variables, process health monitoring attracts more attention from the domain experts and process operators. Since data is ubiquitous nowadays thanks to the advanced computer...
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Fault Detection and Diagnosis in Nonlinear Systems, with a Focus on Mining Truck Suspension Strut
DownloadSpring 2014
Classical fault detection methods do not completely satisfy the reliability requirement for complex and highly nonlinear stochastic systems. One solution to this problem is to use more advances fault detection methods such as multiple models to simulate system in different operating...
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Fall 2015
A large volume of literature exists on fault detection and isolation for industrial processes. In a general view, these various methods may be divided into process model based and process history based fault diagnosis. In both classes, there has been a recent focus on extracting the temporal...
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2006
Choudhury, M. A. A. Shoukat, Halim, Enayet B., Zuo, Ming J., Shah, Sirish L.
The vibration signal carries the signature of faults in most rotating equipments, and early fault detection is possible by analyzing the signal using different signal processing techniques. In this paper we consider a gearbox as a typical representation of a rotating or cyclo-stationary process....
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Fall 2018
Fault Detection, Isolation and Remediation of Real Processes",,eng,"Fault Detection, Change Detection, Leak Detection, Control Valve Stiction, Stiction-Compensation","The goal of process control and monitoring system is to operate the process plants safely, reliably and in fault-free mode. Even a...
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Fall 2016
This thesis investigates the integrated fault detection, estimation and fault tolerant control problem for linear systems and Lipschitz nonlinear systems. Faults and disturbances are taken into consideration in a unified formulation. A H-infinity observer-based fault detection filter (FDF) is...
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Spring 2021
This thesis investigates the use of general value functions for detecting anomalous behavior in machines. Identifying abnormal behavior is critical for ensuring the safety and reliability of any machine or industrial process. When the cause of these anomalies is due to accumulated wear on...