Assessment of the State of the Art of Integrated Vehicle Health Management Technologies as Applicable to Damage Conditions

A survey of literature from academia, industry, and other Government agencies assessed the state of the art in current integrated vehicle health management (IVHM) aircraft technologies. These are the technologies that are used for assessing vehicle health at the system and subsystem level. This study reports on how these technologies are employed by major military and commercial platforms for detection, diagnosis, prognosis, and mitigation. Over 200 papers from five conferences from the time period of 2004 to 2009 were reviewed. Over 30 of these IVHM technologies are then mapped into the 17 different adverse event damage conditions identified in a previous study. This study illustrates existing gaps and opportunities for additional research by the NASA IVHM Project.

[1]  M.A. Seminario,et al.  Experimental Results with a New Distributed Aircraft Fuel Control System Which Uses Smart Fieldbus Components , 2006, 2006 ieee/aiaa 25TH Digital Avionics Systems Conference.

[3]  J.W. Simons,et al.  Prognostics modeling of solder joints in electronic components , 2006, 2006 IEEE Aerospace Conference.

[4]  H. Powrie,et al.  Gas path debris monitoring for F-35 Joint Strike Fighter propulsion system PHM , 2006, 2006 IEEE Aerospace Conference.

[5]  キーン フィリップ,et al.  Landing load monitor for aircraft landing gear , 2006 .

[6]  K. Reichard,et al.  Wireless Technology Study and the Use of Smart Sensors for Intelligent Control and Automation , 2005, 2005 IEEE Aerospace Conference.

[7]  Don-Ha Hwang,et al.  Comparison between software simulation and HIL simulation of antiskid brake system for aircrafts , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[8]  R. D. Young,et al.  Advances in Structural Integrity Analysis Methods for Aging Metallic Airframe Structures with Local Damage , 2003 .

[9]  Ben C. Bernstein,et al.  THE FORECAST ICING POTENTIAL ALGORITHM , 2004 .

[10]  Mary S. Reveley,et al.  Causal Factors and Adverse Events of Aviation Accidents and Incidents Related to Integrated Vehicle Health Management , 2011 .

[11]  J.C. Banks,et al.  Lubrication level diagnostics using vibration analysis , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).

[12]  M. Karchnak,et al.  Opportunities for Prognostic Health Monitoring , 2007, 2007 IEEE Aerospace Conference.

[13]  Brett Jordan,et al.  Aircraft Electrical Power Systems Prognostics and Health Management (AEPHM) , 2004 .

[14]  Yogesh Bagul,et al.  Overview of Remaining Useful Life Methodologies , 2008 .

[15]  R.K. Draney High Temperature Sensor for Bearing Health Monitoring , 2008, 2008 IEEE Aerospace Conference.

[16]  C.A. Rideout,et al.  New Techniques for Detecting Early Fatigue Damage Accumulation in Aircraft Structural Components , 2007, 2007 IEEE Aerospace Conference.

[17]  Alan Richard Baker Structural Health Monitoring of a Bonded Composite Patch Repair on a Fatigue-Cracked F-111C Wing , 2008 .

[18]  Mary S. Reveley,et al.  Subsonic Aircraft Safety Icing Study , 2008 .

[19]  G. Bower,et al.  SiC Power Electronics Packaging Prognostics , 2008, 2008 IEEE Aerospace Conference.

[20]  Thomas E. Munns,et al.  Health Management Technologies and Experiments for Transport Aircraft Landing Gear , 2005 .

[21]  Murray L. Scott,et al.  Review of delamination predictive methods for low speed impact of composite laminates , 2004 .

[22]  C.E. Bassey,et al.  Aircraft Ice Detection using Time Domain Reflectometry with Coplanar Sensors , 2007, 2007 IEEE Aerospace Conference.

[23]  H. Noura,et al.  Active fault detection and isolation strategy for an unmanned aerial vehicle with redundant flight control surfaces , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[24]  Jun Yu,et al.  Algorithm development to ascertain the true characteristic impedance of a wire for wire diagnostics , 2005, IEEE Aerospace Conference.

[25]  Guilherme Araujo Lima da Silva,et al.  Development of an Engine Anti-Ice Protection System using Experimental and Numerical Approaches , 2007 .

[26]  S. Marble,et al.  Predicting the remaining life of propulsion system bearings , 2006, 2006 IEEE Aerospace Conference.

[27]  E. Lavretsky,et al.  Health monitoring of an electro-hydraulic system using ordered neural networks , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[28]  Richard A. Lane AMPTIAC Rome,et al.  Sensors and Sensing Technologies for Integrated Vehicle Health Monitoring Systems , 2004 .

[29]  Gary L. Farley,et al.  SELECTIVE REINFORCEMENT TO IMPROVE FRACTURE TOUGHNESS AND FATIGUE CRACK GROWTH RESISTANCE IN METALLIC STRUCTURES , 2004 .

[30]  M.J. Roemer,et al.  Autonomous impact damage detection and isolation prediction for aerospace structures , 2005, 2005 IEEE Aerospace Conference.

[31]  Nobuo Takeda,et al.  A new approach to predicting multiple damage states in composite laminates with embedded FBG sensors , 2005 .

[32]  Thomas R. Kurfess,et al.  Development of an Optical-Electromagnetic Model of a Microwave Blade Tip Sensor , 2005 .

[33]  Douglas W. Akers,et al.  Nondestructive Aging and Cross -Link Density Damage Detection In Solid Rocket Fuel Propellant , 2005 .

[34]  K. Goebel,et al.  Towards an integrated reasoner for bearings prognostics , 2005, 2005 IEEE Aerospace Conference.

[36]  Henrik Schiøler,et al.  Proceedings of the 2006 IEEE International Conference on Control Applications , 2006 .

[37]  Ahmed Z. Al-Garni,et al.  Failure Forecasting of Aircraft Air-Conditioning/Cooling Pack with Field Data , 2007 .

[38]  K. Al-Rubaie,et al.  Fatigue crack growth resistance and crack closure behavior in two aluminum alloys for aeronautical applications , 2005 .

[39]  Paul Smith,et al.  Aircraft Electrical System Monitoring with Arc Fault Circuit Protection and Automatic Fault Location , 2006 .

[40]  P. Lall,et al.  Prognostics and health management of electronics , 2006, 2006 11th International Symposium on Advanced Packaging Materials: Processes, Properties and Interface.

[41]  Jaap Schijve,et al.  Fatigue damage in aircraft structures, not wanted, but tolerated? , 2009 .

[42]  K. Wojtek Przytula,et al.  Development of Bayesian diagnostic models using troubleshooting flow diagrams , 2001, SPIE Defense + Commercial Sensing.

[43]  Martin F. Karchnak A Robust Laser Interferometer (RLI) for Prognostics and Health Management (PHM) , 2008 .

[44]  Chrissanthi Angeli,et al.  On-Line Fault Detection and Compensation of Hydraulic Driven Machines Using Modelling Techniques , 2008, J. Adv. Comput. Intell. Intell. Informatics.

[45]  K. Reichard,et al.  Diagnostic fault detection & intelligent reconfiguration of fuel delivery systems , 2005, 2005 IEEE Aerospace Conference.

[46]  Paul K. Kuhn,et al.  Locating Hidden Hazards in Electrical Wiring , 2006 .

[47]  K. Reichard,et al.  Diagnostic End to End Monitoring & Fault Detection for Braking Systems , 2006, 2006 IEEE Aerospace Conference.

[48]  D. Goodman,et al.  Electronic Prognostics System Implementation on Power Actuator Components , 2008, 2008 IEEE Aerospace Conference.

[49]  D. Basu,et al.  Ice Shape Prediction For Turbofan Rotating Blades , 2006 .

[50]  George P. Succi,et al.  Helicopter Hydraulic Pump Condition Monitoring Using Neural Net Analysis of the Vibration signature , 1996 .

[51]  Wenyi Wang Disk crack detection and diagnosis for gas turbine engines , 2006, 2006 IEEE Aerospace Conference.

[52]  A. Khalak,et al.  Damage prediction for interconnected, degrading systems , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).

[53]  C.S. Byington,et al.  A model-based approach to prognostics and health management for flight control actuators , 2004, 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720).

[54]  Nagaraj Ramrao,et al.  Improved Fault Tolerance for Autolanding Using Adaptive Backstepping Neural Controller , 2007, 2007 IEEE International Conference on Control Applications.

[56]  P. Lall,et al.  Prognostics and Health Management of Electronic Packaging , 2006, IEEE Transactions on Components and Packaging Technologies.

[57]  S Barroqueiro,et al.  Chromatic single point sensor for aircraft fuel systems , 2004 .

[58]  Lightning Strike Protection For Composite Structures , 2009 .