PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



System health Management

01TAKRO

A.A. 2018/19

Course Language

Inglese

Degree programme(s)

Doctorate Research in Ingegneria Meccanica - Torino

Course structure
Teaching Hours
Lezioni 20
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Sorli Massimo Professore Ordinario IIND-02/A 20 0 0 0 3
Co-lectures
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2018/19
PERIOD: FEBRUARY The course intends to present the scope, the architecture, the enabling technologies, the design process and the performance metrics used in System Health Management, highlighting the relationship between traditional safety and reliability engineering methods and more recent approaches in detecting, diagnosing and predicting failures of complex engineering systems.
PERIOD: FEBRUARY The course intends to present the scope, the architecture, the enabling technologies, the design process and the performance metrics used in System Health Management, highlighting the relationship between traditional safety and reliability engineering methods and more recent approaches in detecting, diagnosing and predicting failures of complex engineering systems.
1) FUNDAMENTALS 1.1: Background and objectives 1.2: Definitions 1.3: Functions and requirements 1.4: Reference architecture 1.5: Summary of enabling technologies 2) SENSING AND DATA PROCESSING 2.1: Transducing principles 2.2: Sensors placement 2.3: Virtual sensors 2.4: Smart sensors 2.5: Data processing 2.6: Use cases of signals analysis for health assessment: gears, bearings, lubricants 3) PROGNOSTICS AND HEALTH MANAGEMENT (PHM) 3.1: Faults monitoring, diagnosis and prognosis framework 3.2: Methodologies for fault diagnosis 3.3: Methodologies for failure prognosis 3.4: Performance metrics 3.5: Data mining 3.6: Use case: PHM applied to aircraft fight control actuators 4) SYSTEMS HEALTH MANAGEMENT APPLIED TO VEHICLES (IVHM) 4.1: IVHM design 4.2: Fleet user requirements 4.3: Operational scenario 4.4: End-to-end system 4.5: Vehicle level reasoning system 4.6: Autonomic logistic support
1) FUNDAMENTALS 1.1: Background and objectives 1.2: Definitions 1.3: Functions and requirements 1.4: Reference architecture 1.5: Summary of enabling technologies 2) SENSING AND DATA PROCESSING 2.1: Transducing principles 2.2: Sensors placement 2.3: Virtual sensors 2.4: Smart sensors 2.5: Data processing 2.6: Use cases of signals analysis for health assessment: gears, bearings, lubricants 3) PROGNOSTICS AND HEALTH MANAGEMENT (PHM) 3.1: Faults monitoring, diagnosis and prognosis framework 3.2: Methodologies for fault diagnosis 3.3: Methodologies for failure prognosis 3.4: Performance metrics 3.5: Data mining 3.6: Use case: PHM applied to aircraft fight control actuators 4) SYSTEMS HEALTH MANAGEMENT APPLIED TO VEHICLES (IVHM) 4.1: IVHM design 4.2: Fleet user requirements 4.3: Operational scenario 4.4: End-to-end system 4.5: Vehicle level reasoning system 4.6: Autonomic logistic support
Modalità di esame:
Exam:
...
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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