PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Gearbox failure analysis and monitoring

01TAORO

A.A. 2018/19

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Meccanica - Torino

Course structure
Teaching Hours
Lezioni 25
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Cura' Francesca Maria Professore Associato IIND-03/A 5 0 0 0 2
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2018/19
PERIOD: NOVEMBER 1. Introduction to gear failures: how to recognize them, what causes them, how to avoid them. 2. Typologies of failure, AGMA classification: wear, scuffing, Hertzian fatigue (macropitting, micropitting, surface initiated failure, subcase fatigue), plastic deformation, fracture, bending fatigue, cracking. 3. Typologies of failure (pitting, bending) analyzed by Standards (AGMA, ISO,…) that may be taken into account in the design phase. 4. Criteria for prediction of scuffing and micropitting risk, effect of lubrication conditions. 5. Crack paths identification (in the design phase) for light weight gears; effect of centrifugal loads.
PERIOD: NOVEMBER 1. Introduction to gear failures: how to recognize them, what causes them, how to avoid them. 2. Typologies of failure, AGMA classification: wear, scuffing, Hertzian fatigue (macropitting, micropitting, surface initiated failure, subcase fatigue), plastic deformation, fracture, bending fatigue, cracking. 3. Typologies of failure (pitting, bending) analyzed by Standards (AGMA, ISO,…) that may be taken into account in the design phase. 4. Criteria for prediction of scuffing and micropitting risk, effect of lubrication conditions. 5. Crack paths identification (in the design phase) for light weight gears; effect of centrifugal loads.
1. Introduction to gear monitoring techniques 2. Different technologies and tools available nowadays 3. Measurement chain for vibration signature 4. Fundamental differences between gears and bearings signals 5. Meshing frequencies (regular and satellite gearboxes), bearing signature 6. Literature classical analysis : RMS, Crest, Kurtosis, Peaks, Cepstrum and specific indicators (NA4 and NA4*, M6A, M8A, and FM4…. ) 7. Measurement Chain 8. Computed Order Tracking & Synchronous Average 9. Linear Prediction 10. Discrete Random Separation 10.1. Gears 10.2. Bearings 11. Time Varying Fourier Transform (TVFT) 12. Spectrum evolution in time 13. Transmission Error * 14. Spectral Kurtosis 15. EMD and EEMD 16. Statistical analysis and detection 17. Outlier analysis 18. Principal Components Analysis
1. Introduction to gear monitoring techniques 2. Different technologies and tools available nowadays 3. Measurement chain for vibration signature 4. Fundamental differences between gears and bearings signals 5. Meshing frequencies (regular and satellite gearboxes), bearing signature 6. Literature classical analysis : RMS, Crest, Kurtosis, Peaks, Cepstrum and specific indicators (NA4 and NA4*, M6A, M8A, and FM4…. ) 7. Measurement Chain 8. Computed Order Tracking & Synchronous Average 9. Linear Prediction 10. Discrete Random Separation 10.1. Gears 10.2. Bearings 11. Time Varying Fourier Transform (TVFT) 12. Spectrum evolution in time 13. Transmission Error * 14. Spectral Kurtosis 15. EMD and EEMD 16. Statistical analysis and detection 17. Outlier analysis 18. Principal Components Analysis
Modalità di esame:
Exam:
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Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam:
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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