Checking date: 16/05/2019


Course: 2019/2020

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.
Competences and skills that will be acquired and learning results.
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

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