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An experimental platform for statistical fault diagnosis in propelled mechanical systems: an academic exercise

Author
Acho, L.; Buenestado, P.
Type of activity
Journal article
Journal
Cybernetics and physics
Date of publication
2019-06-20
Volume
8
Number
1
First page
5
Last page
11
Project funding
DPI2015-64170-R/MINECO/FEDER
Repository
http://hdl.handle.net/2117/167870 Open in new window
URL
http://lib.physcon.ru/doc?id=dfcff44b46f8 Open in new window
Abstract
Statistical data analysis for fault diagnosis in mechanical systems is a fundamental tool, for instance, in applied mechanical engineering. In order to capture a feasible data set, a well designed electronic instrumentation and excitation system signal stages are mandatory. Hence, one objective of this paper is to develop a low cost vibration sensor based on an inductive LC-tank oscillator (a resonant inductive-capacitive electronic circuit carefully designed to produce an harmonic electrical si...
Citation
Acho, L.; Buenestado, P. An experimental platform for statistical fault diagnosis in propelled mechanical systems: an academic exercise. "Cybernetics and physics", 20 Juny 2019, vol. 8, núm. 1, p. 5-11.
Keywords
Electronic instrumentation, Fault diagnosis, Propelled rotating machines, Signal processing, Statistics
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

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