Checking date: 04/05/2022


Course: 2022/2023

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: Mechanical Engineering Department

Type: Compulsory
ECTS Credits: 4.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Machine Mechanics Machine Theory 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
Skills and learning outcomes
Description of contents: programme
1. Introduction to industrial maintenance and mechanical signals in time and in frequency domain. 2. Signal classification. Introduction to signal processing in Matlab. 3. Spectral Analysis 4. Fourier Methods 5. Vibration signals acquisition 6. Sampling theory. 7. Rotating machinery diagnostic applications 8. Non-linear vibrations
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
Calendar of Continuous assessment
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 may change due academic events or other reasons.