Small%20Business%20Innovation%20Research:%20A%20Deployable%20Wireless%20Architecture%20for%20Sensor-Based%20Embedded%20Diagnostics%20and%20Prognostics%20on%20Ground%20Vehicles - PowerPoint PPT Presentation

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Small%20Business%20Innovation%20Research:%20A%20Deployable%20Wireless%20Architecture%20for%20Sensor-Based%20Embedded%20Diagnostics%20and%20Prognostics%20on%20Ground%20Vehicles

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Title: Small%20Business%20Innovation%20Research:%20A%20Deployable%20Wireless%20Architecture%20for%20Sensor-Based%20Embedded%20Diagnostics%20and%20Prognostics%20on%20Ground%20Vehicles


1
Small Business Innovation Research A Deployable
Wireless Architecture for Sensor-Based Embedded
Diagnostics and Prognostics on Ground Vehicles
  • SBIR A01-226
  • June 10, 2003Michael Losh, VP Core Technology
  • American Systems Technology Incorporated

2
ASTI
  • Founded in 1992
  • Background delivering embedded software and
    tools for automotive controls development to OEMs
    and first-tier suppliers
  • 8(a)-certified by SBA, 6 years of eligibility
    remaining
  • Headquarters in Troy, Michigan.

3
Micromachine for Diagnostics SBIR Background
  • Small Business Innovation Research
  • Sponsored by National Automotive Center in TARDEC
  • COTR Andrew Scott, TARDEC Robotics Mobility
    Laboratory
  • Phase II commenced 2/14/03

4
Program Vision
  • TARDEC expressed interest in a MEMS chip that
    can be targeted to multiple diagnostic and
    prognostic applications on the vehicle and
    produced in high volumes
  • MEMS Micro Electro-Mechanical Systems
  • ASTI added wireless digital communications as a
    critical element of an embedded diagnostics
    architecture

5
Motivations
Embedded Diagnostics and Prognostics
Readiness
Sustainability
Safety
Longevity
FCS BCT Legacy Commercial
Performance
Commercial Trends
6
An Embedded Diagnostics and Prognostics
Architecture
  • Why an architecture?
  • Everything essential has its place
  • Elements are arranged to work well together
  • Design can be altered to fitclient/customers
    needs
  • Provisions for future additions

7
Challenges to an Embedded Diagnostics and
Prognostics
  • Premise dedicated sensors will improve
    diagnostic and prognostic capability.
  • How to integrate more and more sensors (MEMS and
    conventional) at reasonable cost and complexity?
    ? Wireless communication inside the vehicle
    (AKA cable replacement)
  • How to effectively present diagnostic and
    prognostic alerts to vehicle operators?? Vehicle
    bus integration, graphical displays
  • How to efficiently communicate diagnostic and
    prognostic results to maintainers and the
    logistics community?? Vehicle bus integration ?
    Wireless communication outside the vehicle (e.g.
    Bluetooth)

8
ASTIs Wireless Embedded Diagnostics Architecture
High-Freq RF Data Link (2.4 GHz)
Low-Freq RF (300 MHz)
Maintainer Interface
)))
)))
)))
Decoupled sensors, wireless connection
Driver Information Interface
Low RF Receiver
High RF Trans-ceiver
Signal Con-ditioning
Control and Analysis
Electronic Control Module
Sensor
Sensor
Signal Con-version
Data Bus Trans-ceiver
Decoupled sensors, wired connection
Sensor
Sensor
Sensor
Physically attached sensors, direct signal
Vehicle Data Bus
J1708, J1939, etc.
9
Integration with Vehicle World
Portable hand-held diagnostic scanner and data
collection tool with RF transceiver
Data forwarded to commanders, maintenance depots,
logistics, PMs, etc.
Telematics diagnostics display, user input
RF or wired link
CLOE, other Data networks
Detached sensors with wireless or wired link
)))
Vehicle data bus J1939, J1708, etc.
Detached sensors connected through vehicle data
bus
)))
Plug-in diagnostic equipment (e.g. SPORT)
)))
Embedded Diagnostics Platform with attached
Sensor(s)
CLOE Common Logistics Operating Environment
10
SBIR Program Phases
  • Phase I Conceptual design feasibility study
  • Phase II Detailed design, simulation, prototype
    fabrication, laboratory evaluation
  • Phase II-Plus Demonstrate additional diagnostic
    and prognostic applications, prepare for pilot
    production
  • Phase III Initial production and
    commercialization

11
Demonstration Concept
  • Diesel Powertrain Lubricant Condition Monitor on
    M915 or similar
  • Diagnostic Objectives
  • Detect unfit engine lubricant conditions
  • Detect water or coolant contamination
  • Detect abnormal lubricant loss
  • Detect plugged oil filter
  • Sensors
  • Electrical conductivity / dielectric impedance
  • Temperature
  • Lubricant level
  • Soot concentration
  • Lubricant pressure

12
Additional Application Concepts
  • Hydraulic Lifting System Fluid Condition Monitor
  • Air Intake Dust Monitor
  • Suspension System Condition Monitor
  • Battery Charge Monitor

13
Contacts
  • Michael Losh, VP Core Technology
  • Brian Crankshaw, VP Government Business
  • American Systems Technology, Inc.
  • 888 West Big Beaver Road, Suite 420
  • Troy, Michigan 48084
  • 248-362-4100
  • http//www.amsystech.com/
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