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- 9Fault Detection
- 2Fault Diagnosis
- 2Rotating Machinery
- 1Alarm Monitoring
- 1Bioreactor System
- 1Choudhury, M. A. A. Shoukat
- 1Gonzalez, Ruben T
- 1Hajizadeh, Mohammad
- 1Halim, Enayet B.
- 1Nadadoor Srinivasan, Venkat R.
- 1Sammaknejad, Nima
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...
Data-Driven Fault Detection, Isolation and Identification of Rotating Machinery: with Applications to Pumps and GearboxesDownload
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:...
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...
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...
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...
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....
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...
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...
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...