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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 2012
This thesis develops an online parameter and state estimation scheme for a linear parameter varying (LPV) system that utilizes an iterative moving window technique. In the proposed scheme, an online algorithm, based on the input/output measurement, is implemented to approximate the real system...
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Spring 2012
Nadadoor Srinivasan, Venkat R.
Biological engineering is a domain of study that involves applying known engineering principles to biological systems. Qualitative studies in the field of biology have undergone tremendous advancements in the last two decades but quantitation is still in its early stages due to various...
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Near-Field to Far-Field Transformation and Fault Detection Using Adaptive Sampling and Machine Learning in Source Reconstruction Method
DownloadFall 2019
Until not so long ago, near-field and far-field measurement techniques were the two prominent approaches to evaluating antennas. A direct far-field measurement can be conducted in outdoor or indoor environments. The measurement of small antennas can be performed in anechoic chambers. For large...
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Monitoring of Industrial Processes via Non-stationary Probabilistic Slow Feature Analysis Machine Learning Algorithm
DownloadSpring 2020
This research develops a first of its kind machine learning (ML) algorithm, called probabilistic slow feature analysis (PSFA), that monitors and detects faults for non-stationary industrial processes. The novelty of this ML algorithm is that it can monitor and detect faults for non-stationary...
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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...
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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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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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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 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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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...