Elsevier S & T

Condition Monitoring and Diagnostic Engineering Management

Starr, A.; Rao, B.K.N.

In stock

No reviews

85.250 KD inc. VAT

License

perpetual

Table of contents

Contentsix
Prefacevii
Chapter 1. Bearing diagnostics in helicopter gearboxes1
Chapter 2. Cost impact of misdiagnoses on machinery operation13
Chapter 3. Detection of rotor-stator rubbing in large rotating machinery using acoustic emissions21
Chapter 4. Condition monitoring of very slowly rotating machinery using AE techniques29
Chapter 5. Monitoring low-speed rolling element bearings using acoustic emissions37
Chapter 6. Condition monitoring of rotodynamic machinery using acoustic emission and fuzzy c-mean cl49
Chapter 7. Monitoring sliding wear using acoustic emission57
Chapter 8. Intelligent condition monitoring of bearings in mail processing machines using acoustic e67
Chapter 9. Health management system design: development, simulation and cost/benefit optimization75
Chapter 10. Optimisation of SANC for separating gear and bearing signals89
Chapter 11. A review of fault detection and isolation (FDI) techniques for control and monitoring sy97
Chapter 12. A monitoring and diagnostic tool for machinery and power plants, based on chaos theory103
Chapter 13. Novelty detection using minimum variance features111
Chapter 14. Intelligent signal analysis and wireless signal transfer for purposes of condition monit119
Chapter 15. Condition monitoring for a car engine using higher order time frequency method127
Chapter 16. An investigation into the development of a condition monitoring/fault diagnostic system135
Chapter 17. Application of vibration diagnostics and suppression by using the Campbell diagram143
Chapter 18. A novel signal processing approach to eddy current flaw detection based on wavelet analy153
Chapter 19. The wavelet analysis applied for fault detection of an electro-hydraulic servo system161
Chapter 20. Advanced fault diagnosis by vibration and process parameter analysis169
Chapter 21. Partially blind source separation of the diagnostic signals with prior knowledge177
Chapter 22. Comparison of simple multi-attribute rating technique and fuzzy linguistic methods in mu185
Chapter 23. Reasoning approaches for fault isolation: a comparison study193
Chapter 24. Migration to advanced maintenance and monitoring techniques in the process industry201
Chapter 25. Introducing value-based maintenance209
Chapter 26. Vibration-based maintenance costs, potential savings and benefits: a case study217
Chapter 27. Balanced scorecard concept adapted to measure maintenance performance: a case study227
Chapter 28. Design, development and assessment of maintenance system for building industry in develo235
Chapter 29. Using modeling to predict vibration from a shaft crack243
Chapter 30. An investigation of abnormal high pitch noise in the Train 2 compressor motor251
Chapter 31. An approach to the development of condition monitoring for a new machine by example263
Chapter 32. Condition monitoring and diagnostic engineering – a data fusion approach275
Chapter 33. Teaching the condition monitoring of machines by understanding283
Chapter 34. A successful model for academia's support of industry's maintenance and reliability need291
Chapter 35. Certification in condition monitoring – development of an international PCN scheme for297
Chapter 36. The exploitation of instantaneous angular speed for condition monitoring of electric mot311
Chapter 37. Discriminating between rotor asymmetries and time-varying loads in three-phase induction319
Chapter 38. Asymmetrical stator and rotor fault detection using vibration, per-phase current and tra329
Chapter 39. New methods for estimating the excitation force of electric motors in operation345
Chapter 40. The development of flux monitoring for a novel electric motor353
Chapter 41. European projects - payback time361
Chapter 42. The use of the fieldbus network for maintenance data communication367
Chapter 43. A distributed data processing system for process and Condition monitoring375
Chapter 44. The physical combination of control and condition monitoring383
Chapter 45. The design and implementation of a data acquisition and control system using fieldbus te391
Chapter 46. A non-linear technique for diagnosing spur gear tooth fatigue cracks: Volterra kernel ap399
Chapter 47. Detection of gear failures using wavelet transform and improving its capability by princ411
Chapter 48. Dynamic analysis method of fault gear equipment419
Chapter 49. Diagnosis method of gear drive in eccentricity, wear and spot flaw states427
Chapter 50. Gear damage detection using oil debris analysis433
Chapter 51. The generalized vibration spectra (GVS) for gearing condition monitoring441
Chapter 52. Use of genetic algorithm and artificial neural network for gear condition diagnostics449
Chapter 53. Fault detection on gearboxes operating under fluctuating load conditions457
Chapter 54. Detection and location of tooth defect in a two-stage helical gearbox using the smoothed465
Chapter 55. Securing the successful adoption of a global information delivery system473
Chapter 56. Design of a PIC based data acquisition system for process and condition monitoring481
Chapter 57. Applications of diagnosing of naval gas turbines489
Chapter 58. Diagnosing of naval gas turbine rotors with the use of vibroacoustic parameters495
Chapter 59. Computer image analysis of dynamic processes503
Chapter 60. Inverse method of processing motion blur for vibration monitoring of turbine blade513
Chapter 61. Artificial neural network performance based on different pre-processing techniques521
Chapter 62. Fault accommodation for diesel engine sensor system using neural networks531
Chapter 63. The application of neural networks to vibrational diagnostics for multiple fault conditi537
Chapter 64. Applying neural networks to intelligent condition monitoring545
Chapter 65. Data mining in a vibration analysis domain by extracting symbolic rules from RBF neural553
Chapter 66. Application of componential coding in fault detection and diagnosis of rotating plant561
Chapter 67. Bearing fault detection using adaptive neural networks571
Chapter 68. Analysis of novelty detection properties of autoassociators577
Chapter 69. Condition monitoring of a hydraulic system using neural networks and expert systems585
Chapter 70. Multi-layer neural networks and pattern recognition for pump fault diagnosis593
Chapter 71. Development of an automated fluorescent dye penetrant inspection system599
Chapter 72.Non-destructive fault induction in an electro-hydraulic servo system609
Chapter 73. Identification of continuous industrial processes using subspace system identification m615
Chapter 74. Life cycle costing as a global imperative625
Chapter 75. Six sigma initiatives in the field of COMADEM633
Chapter 76. Monitoring exhaust valve leaks and misfire in marine diesel engines641
Chapter 77. Combining vibrations and acoustics for the fault detection of marine diesel engines usin649
Chapter 78. Condition diagnosis of reciprocating machinery using information theory657
Chapter 79. Experimental results in simultaneous identification of multiple faults in rotor systems663
Chapter 80. Thermodynamic diagnosis at steam turbines673
Chapter 81. On-line vibration monitoring for detecting fan blade damage681
Chapter 82. A hybrid knowledge-based expert system for rotating machinery689
Chapter 83. Monitoring the integrity of low-speed rotating machines697
Chapter 84. Detecting and diagnosing faults in variable speed machines709
Chapter 85. ARMADA CMS – advanced rotating machines diagnostics analysis tool for added service pr717
Chapter 86. Condition monitoring and diagnosis of rotating machinery by orthogonal expansion of vibr725
Chapter 87. Comparison of approaches to process and sensor fault detection733
Chapter 88. The neural network prediction of diesel engine smoke emission from routine engine operat741
Chapter 89. Early detection of leakage in reciprocating compressor valves using vibration and acoust749
Chapter 90. Inertial sensors error modelling and data correction for the position measurement of par757
Chapter 91. On-line sensor calibration verification: 'a survey'765
Chapter 92. The applicability of various indirect monitoring methods to tool condition monitoring in781
Chapter 93. A palm size vibration visualizing instrument for survey diagnosis by using a hand-held t793
Chapter 94. Development of an on-line reactor internals vibration monitoring system (RIDS)801
Chapter 95. Truncation mechanism in a sequential life testing approach with an underlying two-parame809
Chapter 96. Maintenance functional modelling centred on reliability817
Chapter 97. An implementation of a model-based approach for an electro-hydraulic servo system825
Chapter 98. Stochastic Petri net modeling for availability and maintainability analysis833
Chapter 99. The dynamic modelling of multiple pairs of spur gears in mesh including friction841
Chapter 100. The modelling of a diesel fuel injection system for the non-intrusive monitoring of its849
Chapter 101. Use of factorial simulation experiment in gearbox vibroacoustic diagnostics857
Chapter 102. Online fault detection and diagnosis of complex systems based on hybrid component model865
Chapter 103. Measures of accuracy of model based diagnosis of faults in rotormachinery873
Chapter 104. Failure analysis and fault simulation of an electrohydraulic servo valve881
Chapter 105. A multiple condition information sources based maintenance model and associated prototy889
Chapter 106. Plant residual time distribution prediction using expert judgements based condition mon899
Chapter 107. Optimising complex CBM decisions using hybrid fusion methods909
Chapter 108. Diagnostics of honeycomb core sandwich panels through modal analysis919
Chapter 109. Assessment of structural integrity monitoring systems925
Chapter 110. Experimental validation of the constant level method for identification of nonlinear mu935
Chapter 111. A comparative field study of fibre bragg grating strain sensors and resistive foil gaug943
Chapter 112. The application of oil debris monitoring and vibration analysis to monitor wear in spur953
Chapter 113. Identification of non-metallic particulate in lubricant filter debris959
Chapter 114. Influence of turbine load on vibration pattern and symptom limit value determination pr967
Chapter 115. Study on the movement regulation of grinding media of vibration mill by noise testing977
Chapter 116. Gas turbine blade and disk crack detection using tosional vibration monitoring: a feasi985
Chapter 117. The flow-induced vibration of cylinders in heat exchanger993
Author Indexxvi
COMADEM1003

Book details

Vendor Elsevier S & T
SKU 9780080440361
ISBN-13 9780080550787
Author Starr, A.; Rao, B.K.N.
Category Technology & Engineering
Subject Industrial Health & Safety

Do you have questions about this book?

Ask an expert!

This Proceedings contains the papers presented at the 14th International Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2001), held in Manchester, UK, on 4-6 September 2001. COMADEM 2001 builds on the excellent reputation of previous conferences in this series, and is essential for anyone working in the field of condition monitoring and maintenance management.

The scope of the conference is truly interdisciplinary. The Proceedings contains papers from six continents, written by experts in industry and academia the world over, bringing together the latest thoughts on topics including:

Condition-based maintenance
Reliability centred maintenance
Asset management
Industrial case studies
Fault detection and diagnosis
Prognostics
Non-destructive evaluation
Integrated diagnostics
Vibration
Oil and debris analysis
Tribology
Thermal techniques
Risk assessment
Structural health monitoring
Sensor technology
Advanced signal processing
Neural networks
Multivariate statistics
Data compression and fusion

This Proceedings also contains a wealth of industrial case studies, and the latest developments in education, training and certification.

For more information on COMADEM's aims and scope, please visit http://www.comadem.com

Instant delivery by email
Your access email arrives within minutes of checkout, with a sign-in link for each book — no shipping, no waiting.

Read on any device
Books open in VitalSource Bookshelf on your phone, tablet, or computer, online or offline. Your library is always available at aafaq.vitalsource.com — just log in with the email you used at checkout.

Lost the email?
Resend it to yourself in seconds from My eBook orders, or email cs@aafaqeducation.com and we'll help.