Checking date: 21/01/2021


Course: 2020/2021

Advanced Technologies in Analysis and diagnostic of machinery
(16166)
Study: Master in Industrial Mechanical (265)
EPI


Coordinating teacher: GOMEZ GARCIA, MARIA JESUS

Department assigned to the subject: Department of Mechanical Engineering

Type: Compulsory
ECTS Credits: 4.0 ECTS

Course:
Semester:




Students are expected to have completed
Mechanical Enginering fundamentals.
Objectives
Diagnosis of mechanical mechanisms using data analysis of mechanical sensors masurements (Matlab). The student will learn: -Advanced techniques for mechanical vibration analysis -Mechanical Systems identification based on data analysis
Description of contents: programme
C1 Y C2 Introduction: mechanical signals in time and in frequency domain and signal processing in Matlab. C3 Introduction to spectral analysis C7 Fourier methods C10 Sampling C4 Y C5 Linear systems and filters C13 Rotating machinery diagnostic
Learning activities and methodology
Classroom (65% of ETCS) + homework (30% of ETCS) + conferences and seminars (5% of ETCS).
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • S. BRAUN. DISCOVER SIGNAL PROCESSING. An interactive guide for engineers.. willey. 2008
Additional Bibliography
  • John G. Proakis y Dimitris G. Manolakis. Digital Signal Processing (4th Edition). Prentice Hall. 2006
  • Robert B. Randall. Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications. John Wiley & Sons, Ltd. 2010

The course syllabus and the academic weekly planning may change due academic events or other reasons.