Fault diognosis of gears by computer simulation

Download
009604.pdf
1990
Yalçıntaş, Melek
Show full item record
88
views
0
downloads
https://hdl.handle.net/11511/6267
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Fault Identification of Rotating Electric Machines using Comparative Analysis Methods
Balan, H.; Vadan, I.; Buzdugan, M.; Botezan, A.; Karaissas, P. (2011-09-10)
The analysis of the electrical machines operation, usually appeals to monitoring and diagnosis techniques, the operation faults involving electrical, mechanical and aero-dynamical parameters modification. The mechanical faults are due mainly to the unbalance of the rotating parts of the electrical machines and their analysis can be carried out using the vibration amplitude versus time and/or the vibration speed versus frequency characteristics. This paper presents a fault identification method, using a comp...
Fault-tolerant control of discrete-event systems with lower-bound specifications
Moor, Thomas; Schmidt, Klaus Verner (2015-06-01)
Fault-tolerant control addresses the control of dynamical systems such that they remain functional after the occurrence of a fault. To allow the controller to compensate for a fault, the system must exhibit certain redundancies. Alternatively, one may relax performance requirements for the closedloop behaviour after the occurrence of a fault. To achieve fault tolerance for a hierarchical control architecture, a combination of both options appears to be advisable: on each individual level of the hierarchy, t...
Fault diagnostics in distribution systems
Coşar, Özgür; Sevaioğlu, Osman; Department of Electrical and Electronics Engineering (2001)
Fault detection and diagnosis in nonlinear dynamical systems
Kılıç, Erdal; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2005)
The aim of this study is to solve Fault Detection and Diagnosis (FDD) problems occurring in nonlinear dynamical systems by using model and knowledge-based FDD methods and to give a priority and a degree about faults. For this purpose, three model-based FDD approaches, called FDD by utilizing principal component analysis (PCA), system identification based FDD and inverse model based FDD are introduced. Performances of these approaches are tested on different nonlinear dynamical systems starting from simple t...
Fault detection in combinational circuits by neural networks
Arslan, Mesut Murat; Halıcı, Uğur; Department of Electrical and Electronics Engineering (1994)
Citation Formats
M. Yalçıntaş, “Fault diognosis of gears by computer simulation,” Middle East Technical University, 1990.
METU IIS - Integrated Information Service open@metu.edu.tr