Advanced Technologies in Analysis and diagnostic of machinery
Study: Master in Industrial Mechanical (265)
Coordinating teacher: GOMEZ GARCIA, MARIA JESUS
Department assigned to the subject: Department of Mechanical Engineering
ECTS Credits: 4.0 ECTS
Students are expected to have completed
Mechanical Enginering fundamentals.
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
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).
% end-of-term-examination 50
% of continuous assessment (assigments, laboratory, practicals...) 50
S. BRAUN. DISCOVER SIGNAL PROCESSING. An interactive guide for engineers.. willey. 2008
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.