Helicopter rotor health monitoring- a review

Abstract A review of the literature on helicopter rotor system health monitoring is conducted in this paper. An introduction is provided to the work on rotor track and balance and commercial health and usage monitoring systems. Research on the modelling of typical rotor system faults using aeroelastic analysis is discussed and the use of damage detection algorithms based on neural network, fuzzy logic, and system identification is pointed out. The use of non-destructive testing (NDT) approaches, such as modal methods, acoustic emission, and wave-based approaches for rotor health monitoring is discussed. Finally, work on the health monitoring of composite helicopter rotors is discussed and inverse problem solution and life prediction issues are addressed. Future research needs in the area are pointed out.

[1]  Ranjan Ganguli,et al.  Health monitoring of a helicopter rotor in forward flight using fuzzy logic , 2002 .

[2]  Ranjan Ganguli,et al.  On the effect of matrix cracks in composite helicopter rotor blade , 2005 .

[3]  D. Pines,et al.  Detecting damage in non-uniform beams using the dereverberated transfer function response , 2000 .

[4]  C. Ratcliffe A Frequency and Curvature Based Experimental Method for Locating Damage in Structures , 2000 .

[5]  Ranjan Ganguli,et al.  Jet Engine Gas-Path Measurement Filtering Using Center Weighted Idempotent Median Filters , 2003 .

[6]  Mao Yang,et al.  Sensitivity of Rotor-Fault-Induced Vibrations to Operational and Design Parameters , 2004 .

[7]  Boeing,et al.  Health and Usage Monitoring on the International CH-47D , 1997 .

[8]  Ranjan Ganguli,et al.  Survey of Recent Developments in Rotorcraft Design Optimization , 2004 .

[9]  Ranjan Ganguli,et al.  Genetic fuzzy system for damage detection in beams and helicopter rotor blades , 2003 .

[10]  Ranjan Ganguli,et al.  Noise and Outlier Removal from Jet Engine Health Signals Using Weighted FIR Median Hybrid Filters , 2002 .

[11]  Charles R. Farrar,et al.  A summary review of vibration-based damage identification methods , 1998 .

[12]  Omri Rand,et al.  Adaptive Estimation Methodology for Helicopter Blade Structural Damage Detection , 2002 .

[13]  Ranjan Ganguli,et al.  Trend Shift Detection in Jet Engine Gas Path Measurements Using Cascaded Recursive Median Filter With Gradient and Laplacian Edge Detector , 2004 .

[14]  P. Guillaume,et al.  A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties , 2005 .

[15]  Ranjan Ganguli,et al.  Modeling Multi-Layer Matrix Cracking in Thin Walled Composite Rotor Blades , 2005 .

[16]  H Azzam,et al.  The use of Math-Dynamic Models to Aid the Development of Integrated Health and Usage Monitoring Systems , 1992 .

[17]  Inderjit Chopra,et al.  Detection of Helicopter Rotor System Simulated Faults Using Neural Networks , 1996 .

[18]  Inderjit Chopra,et al.  Helicopter Rotor System Fault Detection Using Physics-Based Model and Neural Networks , 1998 .

[19]  Anindya Ghoshal,et al.  Damage Detection Testing on a Helicopter Flexbeam , 2001 .

[20]  Allan J. Volponi,et al.  The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study , 2000 .

[21]  H Azzam A practical approach for the indirect prediction of structural fatigue from measured flight parameters , 1997 .

[22]  Ranjan Ganguli,et al.  Helicopter rotor blade frequency evolution with damage growth and signal processing , 2005 .

[23]  J. Gordon Leishman,et al.  Effects of Ballistic Damage on the Aerodynamics of Helicopter Rotor Airfoils , 1997 .

[24]  Nuno M. M. Maia,et al.  DAMAGE DETECTION USING THE FREQUENCY-RESPONSE-FUNCTION CURVATURE METHOD , 1999 .

[25]  Darryll J. Pines,et al.  Eigenstructure Assignment Technique for Damage Detection in Rotating Structures , 1998 .

[26]  Constantinos Soutis,et al.  Delamination detection in composite laminates from variations of their modal characteristics , 1999 .

[27]  Darryll J. Pines,et al.  Detecting crack size and location in composite rotorcraft flexbeams , 1997, Smart Structures.

[28]  J Kiddy,et al.  Experimental validation of a damage detection technique for helicopter main rotor blades , 2001 .

[29]  Ranjan Ganguli,et al.  Modeling progressive damage accumulation in thin walled composite beams for rotor blade applications , 2006 .

[30]  Abdollah A. Afjeh,et al.  Integrating Oil Debris and Vibration Gear Damage Detection Technologies Using Fuzzy Logic , 2004 .

[31]  John Alexander Steel,et al.  THE DEVELOPMENT OF AUTOMATED PATTERN RECOGNITION AND STATISTICAL FEATURE ISOLATION TECHNIQUES FOR THE DIAGNOSIS OF RECIPROCATING MACHINERY FAULTS USING ACOUSTIC EMISSION , 2003 .

[32]  Augustin,et al.  Achieving HUMS Benefits in the Military Environment - HUMS Developments on the CH-146 Griffon Fleet , 2004 .

[33]  Ray,et al.  Application of the IMD HUMS to the UH-60A Blackhawk , 2002 .

[34]  Ranjan Ganguli,et al.  On the effect of progressive damage on composite helicopter rotor system behavior , 2007 .

[35]  Chris R. Fuller,et al.  NEURAL NETWORK MODELLING OF OSCILLATORY LOADS AND FATIGUE DAMAGE ESTIMATION OF HELICOPTER COMPONENTS , 1998 .

[36]  Ranjan Ganguli,et al.  Data Rectification and Detection of Trend Shifts in Jet Engine Path Measurements Using Median Filters and Fuzzy Logic , 2002 .

[37]  Cameron,et al.  WAH-64 Apache HUMS Phase-1 Implementation , 2002 .

[38]  Jean-Marc Pouradier,et al.  An Assessment of Eurocopter Experience in HUMS Development and Support , 2001 .

[39]  Ranjan Ganguli,et al.  Matrix Crack Detection in Thin-walled Composite Beam using Genetic Fuzzy System , 2005 .

[40]  Ranjan Ganguli,et al.  Optimal placement of trailing-edge flaps for helicopter vibration reduction using response surface methods , 2007 .

[41]  Evgeny V. Morozov,et al.  Impact damage tolerance of laminated composite helicopter blades , 2003 .

[42]  Edward C. Smith,et al.  Active Interrogation Of Helicopter Rotor Faults Using Trailing Edge Flap Actuation , 2001 .

[43]  O. S. Salawu Detection of structural damage through changes in frequency: a review , 1997 .

[44]  Gretchen B. Murri,et al.  Fatigue Life Methodology for Tapered Composite Flexbeam Laminates , 1998 .

[45]  Brian D. Larder,et al.  Helicopter HUM/FDR: Benefits and Developments , 1999 .

[46]  Le Sueur Airworthiness of helicopters , 1978 .

[47]  Inderjit Chopra,et al.  Simulation of Helicopter Rotor-System Structural Damage, Blade Mistracking, Friction, and Freeplay , 1998 .

[48]  Inderjit Chopra,et al.  In-flight tracking of helicopter rotor blades using shape memory alloy actuators , 1999 .

[49]  V. Rai,et al.  Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform , 2007 .

[50]  Inderjit Chopra,et al.  Coupled Rotor/Fuselage Vibration Analysis for Teetering Rotor and Test Data Comparison , 2001 .

[51]  Kourosh Danai,et al.  Adaptive Method of Helicopter Track and Balance , 2005 .

[52]  Inderjit Chopra,et al.  Structural response of composite beams and blades with elastic couplings , 1992 .

[53]  Jeffrey N. Schoess Rotor acoustic monitoring system (RAMS): a fatigue crack detection system , 1996, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[54]  Ranjan Ganguli,et al.  Fuzzy-Logic-Based Health Monitoring and Residual-Life Prediction for Composite Helicopter Rotor , 2007 .

[55]  John Alexander Steel,et al.  Recent developments in monitoring of engines using acoustic emission , 2005 .

[56]  Darryll J. Pines,et al.  Damage Identification of Chordwise Crack Size and Location in Uncoupled Composite Rotorcraft Flexbeams , 1998 .

[57]  Fu-Kuo Chang,et al.  An Accumulative Damage Model for Tensile and Shear Failures of Laminated Composite Plates , 1995 .

[58]  Ranjan Ganguli,et al.  Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades , 2007 .

[59]  Sikorsky Aircraft Corp.,et al.  Sikorsky Health and Usage Monitoring System (HUMS) Program , 1996 .

[60]  Ranjan Ganguli,et al.  Adaptive Myriad Filter for Improved Gas Turbine Condition Monitoring Using Transient Data , 2005 .

[61]  Inderjit Chopra,et al.  Formulation of a Helicopter Rotor System Damage Detection Methodology , 1996 .

[62]  M. M. Abdel Wahab,et al.  EFFECT OF MODAL CURVATURES ON DAMAGE DETECTION USING MODEL UPDATING , 2001 .

[63]  Ranjan Ganguli,et al.  Data Rectification and Detection of Trend Shifts in Jet Engine Gas Path Measurements Using Median Filters and Fuzzy Logic , 2001 .

[64]  Jan Wendel,et al.  An integrated GPS/MEMS-IMU navigation system for an autonomous helicopter , 2006 .

[65]  R. Ganguli A Fuzzy Logic System for Ground Based Structural Health Monitoring of a Helicopter Rotor Using Modal Data , 2001 .

[66]  James D. Cronkhite Practical Application of Health and Usage Monitoring (HUMS) to Helicopter Rotor, Engine, and Drive Systems , 1993 .

[67]  J. Cattarius,et al.  Experimental verification of intelligent fault detection in rotor blades , 2000, Int. J. Syst. Sci..

[68]  Darryll J. Pines,et al.  A review of vibration-based techniques for helicopter transmission diagnostics , 2005 .

[69]  Grant P. Steven,et al.  VIBRATION-BASED MODEL-DEPENDENT DAMAGE (DELAMINATION) IDENTIFICATION AND HEALTH MONITORING FOR COMPOSITE STRUCTURES — A REVIEW , 2000 .

[70]  R. Ganguli,et al.  Denoising jet engine gas path measurements using nonlinear filters , 2005, IEEE/ASME Transactions on Mechatronics.

[71]  Chih-Chieh Chang,et al.  Damage detection of cracked thick rotating blades by a spatial wavelet based approach , 2004 .

[72]  Yan-Ru Hu,et al.  Active robust vibration control of flexible structures , 2005 .

[73]  P. W. Stevens,et al.  A Multidisciplinary Research Approach to Rotorcraft Health and Usage Monitoring , 1996 .

[74]  H. Y. Hwang,et al.  Damage detection in structures using a few frequency response measurements , 2004 .

[75]  Brian D. Larder,et al.  An Analysis of HUMS Vibration Diagnostic Capabilities , 1997 .

[76]  Victor Giurgiutiu,et al.  Recent advancements in the electromechanical (E/M) impedance method for structural health monitoring and NDE , 1998, Smart Structures.

[77]  Ranjan Ganguli,et al.  Structural damage detection in a helicopter rotor blade using radial basis function neural networks , 2003 .

[78]  Inderjit Chopra,et al.  Comparison of Calculated Vibratory Rotor Hub Loads with Experimental Data , 1998 .

[79]  Inderjit Chopra,et al.  Vibration Prediction for Rotor System with Faults Using Coupled Rotor-Fuselage Model , 2004 .

[80]  Francois Leonard,et al.  FREE-VIBRATION BEHAVIOUR OF A CRACKED CANTILEVER BEAM AND CRACK DETECTION , 2001 .

[81]  Kourosh Danai,et al.  A probability-based approach to helicopter rotor tuning , 2005 .

[82]  Aviv Rosen,et al.  MATHEMATICAL MODELLING OF A HELICOPTER ROTOR TRACK AND BALANCE: THEORY , 1997 .

[83]  David Mba,et al.  Development of Acoustic Emission Technology for Condition Monitoring andDiagnosis of Rotating Machines; Bearings, Pumps, Gearboxes, Engines and RotatingStructures. , 2006 .

[84]  Smiths Industries Aerospace,et al.  An Integrated Health and Usage Monitoring System for the SH-60B Helicopter , 1996 .