Micro Materials Center Head: Prof. Dr. Sven Rzepka Smart Features Integrated for Prognostics Health Management Assure the Functional Safety of the Electronics Systems at the High Level Required in Fully Automated Vehicles Sven Rzepka 1 and Przemyslaw J. Gromala 2 1 Fraunhofer ENAS, Chemnitz, Germany 2 Robert Bosch GmbH, Reutlingen, Germany [email protected]; +49-371-4500-1421 21st International Forum on Advanced Microsystems for Automotive Applications Berlin, 25-26 September 2017
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Micro Materials Center
Head: Prof. Dr. Sven Rzepka
Smart Features Integrated for
Prognostics Health Management Assure the
Functional Safety of the Electronics Systems at the High Level
• New approach in AE: Active Prognostic Health Management (PHM)
Micro Materials Center
Head: Prof. Dr. Sven Rzepka
Prognostics and
Health Manage-
ment (PHM)
o Developing the required infras-tructure, sensors, electronic HW
o Studying and characterizing the Failure Modes and Mechanisms by thorough Effect Analyses for PoF & data driven approaches
o Providing appropriate solutions to the data acquisition, manage-ment, and secure data transfer
o Performing data fusion for reach-ing at an integrated single health assessment, diagnostics, and prognosis score per application
o Establishing highly efficient yet precise metamodeling and mod-el order reduction schemes that can be executed in each of the individual cars locally assisted by self-learning capabilities provid-ed by cloud service
Prognostic Health
Management
Experimental & Design Area
Infrastructure, Sensors,
Hardware
Prognostic Health
Management
Experimental & Design Area
Infrastructure, Sensors,
Hardware
FMMEA /Physics of Failure,
Data Driven Approach
Prognostic Health
Management
Engineering Focus
Experimental & Design Area
Infrastructure, Sensors,
Hardware
FMMEA /Physics of Failure,
Data Driven Approach
Data Acquisition,
Management & Transfer
Prognostic Health
Management
Engineering Focus
Experimental & Design Area
Algorithm Framework
Infrastructure, Sensors,
Hardware
FMMEA /Physics of Failure,
Data Driven Approach
Data Acquisition,
Management & Transfer Health
Assessment, Diagnostics, Prognostics
Prognostic Health
Management
Engineering Focus
Experimental & Design Area
Algorithm Framework
Infrastructure, Sensors,
Hardware
FMMEA /Physics of Failure,
Data Driven Approach
Data Acquisition,
Management & Transfer Health
Assessment, Diagnostics, Prognostics
Prognostic Health
Management
Meta Models,Model Order
Reduction
Engineering Focus
Experimental & Design Area
Algorithm Framework
Infrastructure, Sensors,
Hardware
FMMEA /Physics of Failure,
Data Driven Approach
Data Acquisition,
Management & Transfer Health
Assessment, Diagnostics, Prognostics
Prognostic Health
Management
Meta Models,Model Order
Reduction
AccelerationModels
Variat ion-induced fai-
lure risks
Cri t ical Parameters in Ext reme Environment s
Dat a Readout & Processing Infrast ructure
Int egrat ionof new Sensors
Col lectors (Sensors,
Canaries, …)
Consolidation of Healt h Assessment
Dat a (Sources)
Dat a Exploration and Hypot hesis Generation PoF Model Generat ion
and Val idation
Demonst ration of AE Syst em
Int egration
St andardized Safe and Secure Dat a Exchange
Model Improvement
for Signals
Real Time Predict ion Capabilities
Dedicated stops and three methodology research phases Strategy: PHM integrated into ECS
Micro Materials Center
Head: Prof. Dr. Sven Rzepka
Development of a Comprehensive Scheme of Multi-level
