The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ADVANCES IN ENGINEERING EDUCATION
Transactions ID Number: 89-332
Full Name: Alicia Tinnirello
Position: Engineer
Age: ON
Sex: Female
Address: Maipú 2444 2º piso dto B 2000 Rosario
Country: ARGENTINA
Tel: 4828546
Tel prefix: 0054341
Fax: 4484909
E-mail address: amtinni@gmail.com
Other E-mails: atinnirello@frro.utn.edu.ar
Title of the Paper: Vibration Analysis Techniques for Rotating Machinery
Authors as they appear in the Paper: Alicia Tinnirello,Eduardo Gago,Mónica Dadamo
Email addresses of all the authors: amtinni@gmail.com,egago@tutopia.com,mbdadamogmail.com
Number of paper pages: 10
Abstract: Abstract: - Fault detection and prognosis of equipment is an established technique in many industries worlwide today. The equipment monitored, such as pumps, diesel engines, compressors, and electric motors, belong to the class of rotating machines and produce signals that are quasi-stationary time series. Rotating machines produces signals that are random processes, examples of these are displacement measurements from proximity probes, vibration from accelerometers, sound from accoustic emission sensors, and other ones.In the case of mechanical transmisions, vibration signal analysis has been proved to be one of the most effective techniques for detection and diagnosis failures. Power Spectral Density (PSD) estimation is performend predominantly using classical techniques based on the Fast Fourier Transform (FFT).The FFT is the favoured methods for spectral analysis as it is well established. In recent years, there have been some researchers who have applied the!
technique of parametric modelling for condition monitoring investigations. Methodologies based on probabilistic concepts are presented, studying the signal added with disturbances by parametric models that establish the state of functioning and later are used as linear filters to process the future state, using the residual signal between the filtered modeled signal and the future signal in its original state. The spectral analysis by parametric modeling techniques is an alternative class of frequency estimation method, the parametric approach is based on modelling the signal under analysis as a realisation of a particular stochastic process and estimating the models parameters from its samples. We discuss, in the academic sense of the proposal, various techniques in signal processing used in fault diagnosis for the type and severity of the fault upon detection and finally a real system is presented as well as the strategy that will be applied.
Keywords: Symbolic signals, Rotating machines, Spectral vibration, Parametric methods
EXTENSION of the file: .pdf
Special (Invited) Session: Spectral Vibration Patterns by Symbolic Computation
Organizer of the Session: 697-425
How Did you learn about congress:
IP ADDRESS: 190.193.51.237
