Advanced Technologies in Analysis and diagnostic of machinery
Study: Master in Industrial Mechanical (265)
Coordinating teacher: BUSTOS CABALLERO, ALEJANDRO
Department assigned to the subject: Department of Mechanical Engineering
ECTS Credits: 4.0 ECTS
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
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.