Challenges and obstacles in the application of acoustic emission to process machinery

Abstract Managing asset integrity is crucial for the cost-effective asset management of processing plants. Consequently, new techniques for detection and classification of incipient faults are continuously being sought by industry and developed by research and development professionals, both corporate and academic. Although acoustic emission (AE) testing for faults in static equipment has been used since the 1970s, its use as a monitoring technology for various machinery conditions has been poorly adopted by industry, despite a significant volume of work having been published over the past twenty years describing success in detecting numerous rotating and reciprocating machinery faults. Anecdotal evidence from industry suggests that many ‘tried and failed’. The authors believe that this is because applying AE monitoring to industrial plant is fraught with poorly documented challenges, obstacles, and limitations that must be well understood and overcome before any reported results can be replicated. Thus, to enable potential users to approach AE monitoring with more realistic expectations, the current paper discusses several such problems and suggests some available techniques for their management. After an initial introduction on the basics of AE specifically applied to machinery monitoring, issues are divided into generic problems and application-specific challenges.

[1]  David,et al.  Observations of acoustic emission activity during gear defect diagnosis , 2003 .

[2]  Joanna Sikorska,et al.  A review of acoustic emission techniques for the diagnosis of faults in rotating machinery , 2003 .

[3]  Beat Flepp,et al.  Wear diagnosis of mechanical seals with neural networks , 1999 .

[4]  Steven Y. Liang,et al.  BEARING CONDITION DIAGNOSTICS VIA VIBRATION AND ACOUSTIC EMISSION MEASUREMENTS , 1997 .

[5]  D Mba,et al.  Experimentally Established Correlation between Acoustic Emission Activity, Load, Speed, and Asperity Contact of Spur Gears Under Partial Elastohydrodynamic Lubrication , 2005 .

[6]  Steven Y. Liang,et al.  Dynamic Prognostic Prediction of Defect Propagation on Rolling Element Bearings , 1999 .

[7]  N. Tandon,et al.  A comparison of some condition monitoring techniques for the detection of defect in induction motor ball bearings , 2007 .

[8]  Chris K. Mechefske,et al.  Using acoustic emission to monitor sliding wear , 2002 .

[9]  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 .

[10]  Y. H. J. Au,et al.  Application of Acoustic Emission to Condition Monitoring of Rolling Element Bearings , 2001 .

[11]  Anthony N. Tafuri,et al.  A reference standard for the development of acoustic emission pipeline leak detection techniques , 1999 .

[12]  D Mba,et al.  Monitoring the lubricant condition in a low-speed rolling element bearing using high frequency stress waves , 2002 .

[13]  Ichiya Sato.  Rotating machinery diagnosis with acoustic emission techniques , 1990 .

[14]  John Alexander Steel,et al.  Acoustic emission mapping of diesel engines for spatially located time series—Part II: Spatial reconstitution , 2007 .

[15]  P. Andersson,et al.  Acoustic emission of rolling bearings lubricated with contaminated grease , 2000 .

[16]  D Mba,et al.  Bearing defect diagnosis and acoustic emission , 2003 .

[17]  David Dornfeld,et al.  Slip detection using acoustic emission signal analysis , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[18]  T. J. Holroyd,et al.  Use of acoustic emission for machine condition monitoring , 1993 .

[19]  Melinda Hodkiewicz,et al.  Comparison of acoustic emission, vibration and dynamic pressure measurements for detecting change in flow conditions on a centrifugal pump , 2005 .

[20]  David,et al.  A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size , 2006 .

[21]  B. C. Nakra,et al.  Defect detection in rolling element bearings by acoustic emission method , 1990 .

[22]  Vijayanand S. Moholkar,et al.  Characterization of an ultrasonic system using wavelet transforms , 2002 .

[23]  N. Tandon,et al.  Application of acoustic emission technique for the detection of defects in rolling element bearings , 2000 .

[24]  Jien-Chen Chen,et al.  Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines , 2006 .

[25]  D Mba,et al.  Condition monitoring of low-speed rotating machinery using stress waves Part 1 , 1999 .

[26]  Sandeep M. Vijayakar,et al.  Detecting Gear Tooth Breakage Using Acoustic Emission: a Feasibility and Sensor Placement Study , 1999 .

[27]  Joanna Sikorska,et al.  The effect of waveguide material and shape on AE transmission characteristics Part 2: Frequency and joint-time frequency characteristics , 2004 .

[28]  Cc Tan.  Application of Acoustic Emission to the Detection of Bearing Failures , 1990 .

[29]  L. Alfayeza,et al.  The application of acoustic emission for detecting incipient cavitation and the best efficiency point of a 60 kW centrifugal pump : case study , 2005 .

[30]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[31]  Christian U. Grosse,et al.  Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis , 2003 .

[32]  D Mba,et al.  Detection of incipient cavitation and determination of the best efficiency point for centrifugal pumps using acoustic emission , 2005 .

[33]  John Alexander Steel,et al.  Condition monitoring of rotating seals using acoustic emission. , 1998 .

[34]  R. Gaertner,et al.  Use of acoustic emission to identify damage modes in glass fibre reinforced polyester , 2002 .

[35]  Baldev Raj,et al.  Acoustic emission technique for leak detection in an end shield of a pressurised heavy water reactor , 1989 .

[36]  J. D. Smith,et al.  Vibration monitoring of bearings at low speeds , 1982 .

[37]  Hiroshi Ikeda,et al.  Measurement of Acoustic Emission and Vibration of Rolling Bearings with an Artificial Defect , 2000 .

[38]  L. K. Hansen,et al.  On condition monitoring of exhaust valves in marine diesel engines , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

[39]  Noel E. Sharkey,et al.  Acoustic emission, cylinder pressure and vibration: a multisensor approach to robust fault diagnosis , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[40]  Masahiro Komatsu,et al.  Development Of An Incipient Failure Detection Technique For Mechanical Seals , 1987 .

[41]  A. W. Lees,et al.  Application of High Frequency Monitoring for Classification of Rolling Element Bearing Failures , 2001 .

[42]  Anton P. Holenstein.  Diagnosis of mechanical seals in large pumps , 1996 .

[43]  Robert Lewis Reuben,et al.  AE mapping of engines for spatially located time series , 2005 .

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

[45]  Joanna Sikorska,et al.  The application of acoustic emission monitoring to the detection of flow conditions in centrifugal pumps , 2006 .

[46]  G. J. Trmal,et al.  The Use of Stress Wave Sensors for the Diagnosis of Bearing Faults , 1990 .

[47]  Takeo Yoshioka,et al.  A new acoustic emission source locating system for the study of rolling contact fatigue , 1982 .

[48]  R. J. Boness,et al.  Adhesive and abrasive wear studies using acoustic emission techniques , 1991 .

[49]  Jan Larsen,et al.  Condition monitoring with Mean field independent components analysis , 2005 .

[50]  B. C. Gupta,et al.  Quality inspection of rolling element bearing using acoustic emission technique , 1990 .

[51]  M. Sekine,et al.  Relation between Lubricated Wear of Ceramics and Acoustic Emission Characteristics , 1998 .

[52]  E. Siores,et al.  Condition monitoring of a gear box using acoustic emission testing , 1997 .

[53]  P. H. Hutton.  Detecting acoustic emission in the presence of hydraulic noise , 1969 .

[54]  John Alexander Steel,et al.  Monitoring of a large reciprocating compressor. , 1998 .

[55]  Kaoru Matsuoka,et al.  On-line wear monitoring using acoustic emission , 1993 .

[56]  P. D. McFadden,et al.  Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review , 1984 .

[57]  M. W. Hawman,et al.  Acoustic emission monitoring of rolling element bearings , 1988, IEEE 1988 Ultrasonics Symposium Proceedings..

[58]  Randy A. Dahlgren,et al.  A relational database for the monitoring and analysis of watershed hydrologic functions: I. Database design and pertinent queries , 2005, Comput. Geosci..

[59]  D Mba,et al.  Condition monitoring of slow-speed rolling element bearings using stress waves , 2001 .

[60]  Y. H. J. Au,et al.  Acoustic Emission Signal Processing , 2001 .

[61]  Joanna Sikorska,et al.  Development of an AE data management and analysis system , 2006 .

[62]  Trevor J. Holroyd.  CONDITION MONITORING OF VERY SLOWLY ROTATING MACHINERY USING AE TECHNIQUES , 2001 .

[63]  F. Chu,et al.  Experimental determination of the rubbing location by means of acoustic emission and wavelet transform , 2001 .

[64]  D Owen,et al.  Experimental investigation into the capabilities of acoustic emission for the detection of shaft-to-seal rubbing in large power generation turbines: A case study , 2006 .

[65]  John Alexander Steel,et al.  The relative merits of acoustic emission and acceleration monitoring for the detection of bearing defects. , 1998 .

[66]  David,et al.  A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears , 2007 .

[67]  Alf Püttmer.  New applications for ultrasonic sensors in process industries. , 2006, Ultrasonics.

[68]  Patrick S. K. Chua,et al.  A study of hydraulic seal integrity , 2007 .

[69]  I. Fisk,et al.  Configuration monitoring tool for large-scale distributed computing , 2004 .

[70]  P van Duijn,et al.  Automated storage of gas chromatography-mass spectrometry data in a relational database to facilitate compound screening and identification. , 2002, Journal of chromatography. A.

[71]  Jeffrey N. Schoess.  Development and application of stress-wave acoustic diagnostics for roller bearings , 2000, Smart Structures.

[72]  A. Montgomery,et al.  Detecting Shaft-to-Seal Rubbing in Power Generation Turbines With the Acoustic Emission Technology , 2006 .

[73]  Jian-Da Wu,et al.  Fault diagnosis of internal combustion engines using visual dot patterns of acoustic and vibration signals , 2005 .

[74]  Krzysztof Jemielniak,et al.  Some aspects of acoustic emission signal pre-processing , 2001 .

[75]  Juha Miettinen,et al.  Acoustic emission in monitoring sliding contact behaviour , 1995 .

[76]  Kazuya Sato,et al.  Applications of Acoustic Emission Techniques for Diagnosis of Large Rotating Machinery and Mass Production Products , 1994 .

[77]  Takeo Yoshioka,et al.  Diagnosis of Rolling Bearing by Measuring Time Interval of AE Generation , 1999 .

[78]  Randy A. Dahlgren,et al.  A relational database for the monitoring and analysis of watershed hydrologic functions: II. Data manipulation and retrieval programs , 2005, Comput. Geosci..

[79]  Takao Koide,et al.  Acoustic Emission in Bending Fatigue Process of Spur Gear Teeth. , 1992 .

[80]  D. Paul.  Detection of change in processes using wavelets , 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

[81]  P. Olley,et al.  Acoustic monitoring techniques for structural integrity , 1991 .

[82]  Theresa A. Tuthill,et al.  Reduced interference distributions for the detection and classification of outside sound source acoustic emissions , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[83]  Bob Flitney.  Review of features in Sealing Technology during the last year , 2005 .

[84]  Kyung-Woong Kim,et al.  Early detection of damages in journal bearings by acoustic emission monitoring , 1995 .

[85]  John Alexander Steel,et al.  Detection of incipient cavitation in pumps using acoustic emission , 1997 .

[86]  Giorgio Rizzoni,et al.  Time-frequency signal analysis of the acoustic emission of Formula 1 engines , 1998, Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380).

[87]  E. P. Serrano,et al.  Application of the wavelet transform to acoustic emission signals processing , 1996, IEEE Trans. Signal Process..

[88]  T. Roberts,et al.  Application of acoustic emission technology for detecting the onset and duration of contact in liquid lubricated mechanical seals , 2006 .

[89]  D N Johnston,et al.  The use of acoustic emission for condition monitoring in high pressure hydraulic pumps , 1991 .

[90]  J. R. Houghton,et al.  Cavitation Monitoring of Hydroturbines with RMS Acoustic Emission Measurement , 1994 .

[91]  Stuart L. Scott,et al.  Worldwide Assessment of Industry Leak Detection Capabilities for Single & Multiphase Pipelines , 2003 .

[92]  John Alexander Steel,et al.  Source location of acoustic emission in diesel engines , 2007 .

[93]  John Alexander Steel,et al.  A study of the tribological behaviour of piston ring/cylinder liner interaction in diesel engines using acoustic emission , 2006 .

[94]  Atul B. Andhare.  Condition Monitoring of Rolling Element Bearings , 2010 .

[95]  R. J. Boness,et al.  Tribological behaviour and acoustic emissions of alumina, silicon nitride and SAE52100 under dry sliding , 1999 .

[96]  Thomas R. Kurfess,et al.  Rolling element bearing diagnostics in run-to-failure lifetime testing , 2001 .

[97]  Gary David Neill.  PC based diagnostic system for the condition monitoring of rotating machines , 1998 .

[98]  L. M. Rogers.  The application of vibration signature analysis and acoustic emission source location to on-line condition monitoring of anti-friction bearings , 1979 .

[99]  N. Tandon,et al.  Condition monitoring of electric motor ball bearings for the detection of grease contaminants , 2007 .

[100]  David Mba,et al.  Limitation of Acoustic Emission for Identifying Seeded Defects in Gearboxes , 2005 .

[101]  John Alexander Steel,et al.  Indirect measurement of cylinder pressure from diesel engines using acoustic emission , 2005 .

[102]  C. James Li,et al.  Acoustic emission analysis for bearing condition monitoring , 1995 .

[103]  R. J. Boness,et al.  Wear studies using acoustic emission techniques , 1990 .