Prognostics and Preventive Maintenance for Software-Defined Vehicles

3Q 2016 | Application Analysis Report | AN-2267 | 22 pages | 4 charts | 12 figures | PDF

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Table of Contents

  • 1. OVERVIEW
    • 1.1. Evolving Vehicle Health Solutions
    • 1.2. Augmented Reality Potential Grows
    • 1.3. Failure Precursors
    • 1.4. Data Correlation
    • 1.5. The Maintenance Continuum
  • 2. PHM BENEFITS AND CHALLENGES
    • 2.1. Benefits
    • 2.2. Challenges
  • 3. PROGNOSTICS SUPPLY CHAIN
    • 3.1. Industry Strategies
    • 3.2. Profit Generation Potential
    • 3.3. Car Versus Commercial Vehicle Adoption
    • 3.4. Aviation and Military Linkage
    • 3.5. Prognostics Companies in Aero and/or Defense
  • 4. PROGNOSTICS SPECIALISTS
    • 4.1. MathWorks
    • 4.2. DataRPM
    • 4.3. Covisint


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Advances in telematics, ECUs and numerous ADAS features are facilitating growth in vehicle health management systems including prognostics and repair management.  These enable over the air (OTA) lifecycle management, customer satisfaction, and loyalty as well as reduced costs for the OEMS. Prognostics monitor and predict anticipated performance of a component in real time by estimating the degree of deviation of a component from its expected norm.

The automotive and commercial vehicle industries are moving from merely corrective, manual repairs to predictive and preventable occurrences.  The transformation also presents an opportunity for OEMs to harvest valuable data from the cars and drivers.  The value will increase as vehicle diagnostics move from tires and engines into a full spectrum of connected components and extend to a vehicle in motion and processed in real time.

Table of Contents

  • 1. OVERVIEW
    • 1.1. Evolving Vehicle Health Solutions
    • 1.2. Augmented Reality Potential Grows
    • 1.3. Failure Precursors
    • 1.4. Data Correlation
    • 1.5. The Maintenance Continuum
  • 2. PHM BENEFITS AND CHALLENGES
    • 2.1. Benefits
    • 2.2. Challenges
  • 3. PROGNOSTICS SUPPLY CHAIN
    • 3.1. Industry Strategies
    • 3.2. Profit Generation Potential
    • 3.3. Car Versus Commercial Vehicle Adoption
    • 3.4. Aviation and Military Linkage
    • 3.5. Prognostics Companies in Aero and/or Defense
  • 4. PROGNOSTICS SPECIALISTS
    • 4.1. MathWorks
    • 4.2. DataRPM
    • 4.3. Covisint