Light Armored Vehicle (LAV): Degrader Study and Asset ...Fuzzy Logic ARMA User Interface Impedance...
Transcript of Light Armored Vehicle (LAV): Degrader Study and Asset ...Fuzzy Logic ARMA User Interface Impedance...
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Light Armored Vehicle (LAV):Degrader Study and
Asset Health Monitoring
DoD Maintenance Symposium 2003
Jeffrey BanksThe Pennsylvania State University
Applied Research Laboratory(814) 863 3859
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Light Armored Vehicle (LAV-25)Degrader Study
• Crew: Driver, gunner, commander and 6 Marine infantry
• Combat Weight: 28,200 pounds • Range: 410 miles • Land Speed: 62 mph • Swim Speed: 6 mph • Length & Height: 21 feet by 9 feet
• LAV Degrader Study was conducted to assess the issues related to vehicle availability and reliability.
• Analysis focused on identifying components and sub-system degraders of vehicle mobility.
• Study involved four evaluation sections:– Parts Supply Data– Interviews with Maintainers– Failure Modes and Effects
Analysis (FMEA)– Severity Rankings
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LAV Degrader Study: MIMMS data
• Analysis of Maintenance Information Management System (MIMMS) data:– Number of parts replaced/year– Logistic Delay Time
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LAV Degrader Study: InterviewsTwenty Interviews with Experienced Maintainers were Conducted
– Assess maintenance issues with LAV at:• School House - Aberdeen Proving Grounds - Aberdeen, Maryland• Exercise Support Division – Twenty Nine Palms, California• 3rd LAR Bn. - Twenty Nine Palms, California• 1st LAR Bn. – Camp Pendleton, California• School of Infantry – Infantry Training Bn. – Camp Pendleton, California• PMO-LAV - Albany, Georgia• 2nd LAR Bn. – Camp Lejeune, North Carolina
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LAV Degrader Study: FMEA• Failure Modes and Effects Analysis (FMEA): process to
define and evaluate vehicle degraders.– Effective tool for evaluating asset health monitoring technology.
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LAV Degrader Study: Severity
• Severity Analysis: The consequences of the failure in terms of operation availability of the vehicle and maintenance issues for each component. – Severity levels based on four factors:
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LAV Degrader Study: Results
LAV Mobility Degraders:• Differentials• Batteries• Planetary Gear Set in
Wheel Hubs• Alternator• Transfer case• Seals• Fuel Pump• Vehicle Hydraulic
System• Diesel Engine • Transmission
Identify Top Vehicle Degraders
Develop and Implement Vehicle Health Monitoring System
Field Test and Evaluate Health Monitoring System
Limited Scale Field Testing: 3 to 5 Vehicles
Differentials Batteries
Penn State ARL LAV Test Vehicle
Deploy Health Monitoring System to All Fleet Vehicles
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Diagnostic System: Systematic Design Approach
DataData InformationInformation DecisionDecisionKnowledgeKnowledge
TechnologyTechnology
IntelligentIntelligentNodesNodesIntelligentIntelligent
NodesNodesSmartSmartSensorsSensors
EnterpriseEnterpriseMonitor/Monitor/ControlControl
SubsystemSubsystemIntelligentIntelligent
NodesNodes
SystemSystemHealthHealth
MonitorMonitor
ActionAction
CollectCollectraw dataraw data
Perform Perform assessmentassessment
MakeMakediagnosisdiagnosis
ReduceReducedatadata
Science Science
AnalyzeAnalyzedatadata
SensingSensing FeatureFeatureExtractionExtraction
FaultFaultDetectionDetection
DamageDamageEstimationEstimation
Feature Feature TrackingTracking
& Prognostics& Prognostics
Engineering ImplementationEngineering Implementation
SensorsSensors HW/SWHW/SWArchitectureArchitecture
Comm.Comm.ArchitectureArchitecture
Comm.Comm.NetworkNetwork
HumanHuman--toto--MachineMachineInterfaceInterface
Open Systems ArchitectureOpen Systems Architecture
RCM/RCM/FMECAFMECA
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Differential Diagnostics: Lubrication Level
• LAV maintainer interviews indicated that the root cause of failure for differentials is lubrication loss.
• Need earliest indication of lubrication loss to prevent damage to differentials.
• Solution: Use vibration analysis to detect lubrication loss.
• Benefit: Vibration can be used to detect faults in bearings, gears and shafts as well.
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Differential Diagnostics: Lubrication Level
• Trending of narrowband data provides an early indication of loss lubrication
LAV Differential Lubrication TestFullband: 0 to 51.2 kHz
1000030000500007000090000
110000130000150000
Full Lube 50% Lube No Lube
Lubrication Level
RM
S
Control - Diff No.3 Test - Diff No.4
LAV Differential Lubrication Test Narrowband: 15kHz to 24kHz
0100020003000400050006000700080009000
10000
Full Lube 50% Lube No LubeLubrication Level
RM
S
Control - Diff No.3 Test - Diff No.4
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Battery Prognostics: Remaining Useful Life
MeasurementSignals
Neural Network
Fuzzy Logic
ARMA
User Interface
ImpedanceProcessing
Heat CapacityProcessing
Electrochemical ModelIdentification
SOC, SOH, andSOL Estimators
V,I
Ex,Sn
T
Feature VectorFiles
Feature Processing
SOC, SOH, SOLEstimation FIles
Data Fusion WorkbenchUser Info
File
HistoryKnowledge
Decision FusionHistory
Knowledge
Σ
if,...then
Patent #6,307,378 [Grant N00014-98-1-0795]
• Fast, reliable predictions of SOC, SOH, and SOL with performance errors <5%
• A low power system (<1/2 watt) that is embedded in a battery, equipment using the battery, or hand-held meter
Causes of Battery Failure•Aging: dry-out,dendrites; passivation; corrosion•Charging: overcharge; low electrolyte charging• Mechanical/Vibration: case cracks; broken plates
- Damaged or faulty battery not detected until attempted engine start
- Remaining time not accurately known while using only battery power
- Remaining engine starts using the vehicle batteries not known
- Impending battery faults not detected
Need for Battery Prognostics
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Location• Vehicle identification• Location (GPS)• Time-of-day
Location• Vehicle identification• Location (GPS)• Time-of-day
Condition MonitoringIntelligent Nodes
RFNetwork • COTS Hardware
• PC Based Architecture• Modular PC104 boards
802.11 NetworkOr SINCGAR’sW/Data Modem
Diagnostic Monitoring
Unit
Asset Visibility Intelligent Node
ReadinessIntelligent Node
LAV Monitoring System Layout(Demonstration Hardware)
Condition/Health• Engine Health
Information• Power Train Health
Information• Battery Health and
State of Charge
Condition/Health• Engine Health
Information• Power Train Health
Information• Battery Health and
State of Charge
Performance/Status• Warnings• Advisories• Status, levels
Performance/Status• Warnings• Advisories• Status, levels
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Vehicle and Systems Health Information