Handbook of Condition Monitoring: Techniques and MethodologyA. Davies Springer Science & Business Media, 1998 - 565 páginas In today's competitive climate the economies of production have become a critical factor for all manufacturing companies. For this reason, achieving cost-effective plant maintenance is highly important. In this context monitoring plays a vital role. The purpose of this book is to inform readers about techniques currently available in the field of condition monitoring, and the methodology used in their application. With contributions from experts throughout the world, the Handbook of Condition Monitoring addresses the four major technique areas in condition monitoring in addition to the latest developments in condition monitoring research. Significantly, the Handbook of Condition Monitoring includes the following features:
This is the essential reference book for maintenance technicians, engineers, managers and researchers as well as graduate students involved in manufacturing and mechanical engineering, and condition monitoring. |
Índice
Condition monitoring and the integrity of industrial systems | 3 |
12 CONDITION MONITORING AND DIAGNOSTIC ENGINEERING MANAGEMENT COMADEM | 4 |
13 ECONOMIC JUSTIFICATION AND BENEFITS | 11 |
14 MARKET RESEARCH | 15 |
15 COMADEM EDUCATION | 30 |
16 CONCLUSIONS | 33 |
Condition based maintenance | 35 |
22 VIBRATION MONITORING | 39 |
1111 MONITORING MACHINE VIBRATION | 299 |
1112 CONCLUSIONS | 301 |
1113 ACKNOWLEDGEMENTS | 302 |
Common vibration monitoring techniques | 303 |
122 THE TIME DOMAIN | 307 |
123 THE FREQUENCY DOMAIN | 313 |
124 THE QUEFRENCY DOMAIN | 318 |
125 CONCLUSIONS | 320 |
23 THERMOGRAPHY | 41 |
24 TRIBOLOGY | 43 |
25 OTHER MONITORING TECHNIQUES | 49 |
26 CONCLUSIONS AND FINANCIAL IMPLICATIONS | 52 |
27 BIBLIOGRAPHY | 53 |
Techniques for Visual Inspection | 55 |
Visual inspection systems | 57 |
32 UNSOPHISTICATED LOWCOST AIDES | 58 |
33 PORTABLE INFORMATION LOGS | 59 |
34 MORE SOPHISTICATED SYSTEMS | 66 |
35 AUTOMATED VISUAL INSPECTION | 68 |
36 STATEOFTHEART | 71 |
37 CONCLUSIONS | 75 |
38 REFERENCES | 76 |
Thermal monitoring using infrared thermography | 78 |
42 SIMPLE TEMPERATURE MEASUREMENT TECHNIQUES | 80 |
43 PYROMETRY AND INFRARED LINE SCANNERS | 81 |
44 THERMAL IMAGING OR THERMOGRAPHIC SYSTEMS | 85 |
45 CONDITION MONITORING CASE STUDIES | 88 |
46 THE FUTURE OF THERMOGRAPHY APPLICATIONS AND CONCLUSIONS | 99 |
Surface and internal defect detection | 102 |
52 EDDY CURRENT TESTING | 104 |
53 ELECTRICAL RESISTANCE TESTING AC OR DCPD | 107 |
54 FLUX LEAKAGE TESTING AND MAGNETIC TESTING | 109 |
55 PENETRANT TESTING | 117 |
56 RADIOGRAPHIC TESTING | 120 |
57 RESONANT SPECTROSCOPIC TESTING | 126 |
58 ULTRASONIC TESTING | 127 |
59 VISUAL TESTING | 133 |
510 CONCLUSIONS | 134 |
511 REFERENCES | 135 |
Commercial applications of visual monitoring | 136 |
62 BORESCOPES FIBRESCOPES AND ENDOSCOPES | 138 |
63 VIDEO IMAGING | 142 |
64 THERMAL AND ULTRASONIC IMAGING | 144 |
65 LASER SYSTEMS | 147 |
66 SPECIAL APPLICATIONS | 150 |
67 CONCLUSIONS | 154 |
Techniques for Performance Monitoring | 157 |
System quantityquality assessmentthe quasisteady state monitoring of inputs and outputs | 159 |
72 ENERGY CONVERSION FLOW MONITORING AND EFFICIENCY | 161 |
73 STEADYSTATE SIGNALS AND INSTRUMENT CALIBRATION | 163 |
74 INSTRUMENT INSTALLATIONHYDRAULIC POWER | 166 |
75 INSTRUMENT INSTALLATION ELECTRICAL POWER | 170 |
76 INSTRUMENT INSTALLATION TORQUE AND SPEED | 173 |
77 INSTRUMENT INSTALLATION TEMPERATURE | 176 |
78 INSTRUMENT INSTALLATION FLOW MEASUREMENT | 179 |
79 CONCLUSIONS | 187 |
710 REFERENCES | 188 |
System inputoutput monitoring | 189 |
82 SYSTEM MONITORING | 191 |
83 MACHINE HEALTH ANALYSIS | 193 |
84 GRAPHIC PATTERN ANALYSIS | 198 |
85 TRACKING RATE ANALYSIS | 208 |
86 NEURAL NETWORK APPLICATION | 212 |
87 CONCLUSIONS | 217 |
System monitoring and the use of models | 219 |
92 STATISTICAL MEASURES | 220 |
94 MODELS | 233 |
95 SPECTRUM ANALYSIS | 237 |
96 CONCLUSIONS | 238 |
97 BIBLIOGRAPHY | 239 |
Commercial applications of performance monitoring | 240 |
102 BEARING PERFORMANCE | 242 |
103 BALLSCREW PERFORMANCE | 249 |
104 PUMP PERFORMANCE | 256 |
105 MACHINE PERFORMANCE | 262 |
106 CONCLUSIONS | 264 |
Techniques for Vibration Monitoring | 267 |
Review of fundamental vibration theory | 269 |
112 MEASURING VIBRATION | 272 |
113 FREQUENCY | 275 |
114 PHASE | 276 |
115 VIBRATION ANALYSIS | 280 |
116 COMPLEX VIBRATION | 285 |
117 VIBRATION SEVERITY | 286 |
118 VELOCITY RMS | 288 |
119 HIGHFREQUENCY DETECTION SYSTEMS | 291 |
1110 VIBRATION AND PREDICTIVE MAINTENANCE | 294 |
126 REFERENCES | 321 |
APPENDIX EQUATIONS FOR COMMON VIBRATION MONITORING TECHNIQUES | 322 |
Fundamentals of vibroacoustical condition monitoring | 324 |
132 WEAR AND VIBROACOUSTIC PHENOMENA IN MACHINES | 325 |
133 MACHINES AS ENERGY PROCESSORS | 329 |
134 MACHINERY AS A HIERARCHY OF ENERGY PROCESSORS | 334 |
135 SYMPTOM RELIABILITY CONTINUOUS OPERATING SYSTEMS | 339 |
136 CONDITION ASSESSMENT SYSTEM RESIDUAL LIFE AND SYMPTOM RELIABILITY | 343 |
137 EXAMPLE OF MACHINE LIFE PREDICTION BY ETS THEORY | 348 |
138 CONCLUSIONS | 351 |
Commercial applications of vibration monitoring | 354 |
142 GAS COMPRESSOR TRAIN MONITORING | 356 |
143 POWER GENERATION TRAIN MONITORING a | 359 |
144 POWER GENERATION TRAIN MONITORING b | 362 |
145 AERODERIVATIVE GAS TURBINE MONITORING | 364 |
146 THE ATL APPROACH | 366 |
147 EXPERT SYSTEM APPLICATION | 369 |
148 CONCLUSIONS | 374 |
Techniques for Wear Debris Analysis | 375 |
Detection and diagnosis of wear through oil and wear debris analysis | 377 |
152 WEAR IN LUBRICATED SYSTEMS | 383 |
TRANSPORT MONITORING EFFICIENCY AND ANALYSIS | 392 |
154 LUBRICANT PROPERTIES AND OIL ANALYSIS METHODS | 395 |
155 WEAR DEBRIS ANALYSIS METHODS | 401 |
156 PHYSICAL TESTING OF LUBRICANTS | 414 |
157 IMPLEMENTATION OF WEAR DEBRIS MONITORING AND OIL ANALYSIS PROGRAMMES | 415 |
159 BIBLIOGRAPHY | 419 |
Wear particle collection and evaluation | 420 |
162 MONITORING FLUIDS | 422 |
163 TYPES OF DEBRIS | 425 |
164 DEBRIS COLLECTION | 428 |
165 DEBRIS ASSESSMENT | 431 |
166 CONCLUSIONS | 434 |
Lubricant analysis as a condition monitoring technique | 435 |
172 LUBRICANT SAMPLING | 436 |
173 SAMPLE ANALYSIS | 438 |
174 INTERPRETATION OF RESULTS | 441 |
175 INFORMATION FEEDBACK AND COMBINED MONITORING | 446 |
176 CONCLUSIONS | 447 |
177 REFERENCES | 449 |
Commercial applications of wear debris analysis | 450 |
182 DIRECT DETECTION SYSTEMS | 452 |
183 PARTICLE COLLECTION AND ANALYSIS SYSTEMS | 454 |
184 FLUID ANALYSIS SYSTEMS | 460 |
185 TECHNIQUE COMPARISON | 465 |
186 CONCLUSIONS | 467 |
Adopting a ConditionBased Maintenance Strategy | 469 |
Financial implications and cost justification | 471 |
192 ASSESSING THE NEED FOR CONDITION MONITORING | 472 |
193 COST JUSTIFICATION | 474 |
194 JUSTIFYING CM AT PRESENT | 478 |
195 CONCLUSIONS | 482 |
Technique selection and implementation in condition monitoring | 483 |
202 CONDITION MONITORING METHODS | 484 |
203 CM METHOD SELECTION USING AHP | 490 |
204 CM METHOD SELECTION DURING DESIGN | 494 |
205 CONCLUSIONS | 501 |
206 REFERENCES | 502 |
Pitfalls benefits and collective wisdom | 503 |
212 MAINTENANCE POLICY | 506 |
213 MAINTENANCE TECHNICAL STRATEGY | 509 |
214 LESSONS FROM BENCHMARKING RESULTS | 511 |
215 CASESTUDY EXAMPLES | 517 |
216 CONCLUSIONS | 518 |
Research and Development in Condition Monitoring | 519 |
Knowledgebased systems for condition monitoring | 521 |
222 THE ROLE OF KBS IN MAINTENANCE | 525 |
INTERFACING | 529 |
224 APPLYING KNOWLEDGEBASED SYSTEMS | 535 |
225 CONCLUSIONS | 539 |
226 REFERENCES | 540 |
Future developments in condition monitoring techniques and systems | 541 |
232 DATA ACQUISITION SYSTEMS | 543 |
233 CONDITION EVALUATION TECHNIQUES | 547 |
234 KNOWLEDGEBASED CONTROL METHODS | 551 |
235 AUTOMATED SYSTEM IMPLEMENTATION | 556 |
236 CONCLUSIONS | 559 |
561 | |
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Términos y frases comunes
accelerometer amplitude application automated borescope calibration Cardiff cause Cempel cepstrum chapter components condition monitoring contamination cost damage detection diagnostic dynamic eddy current effect electrical energy engine equipment example expert system failure fault fault diagnosis filter flow fluid frequency gas turbine gauge gear gearbox hydraulic identify increase indication industrial infrared input input/output installation instrument knowledge-based systems Kurtosis laser lubricant machine tool machinery magnetic manufacturing material measurement mechanical method microns monitoring system motor normally oil analysis operation optical output parameters performance plant pressure problem production pump range reduce reliability rotating sample sensor shaft shown in Figure signal speed strain gauge surface symptom Table temperature thermal imaging thermocouples tion transducer trend Tribology tube turbine typical ultrasonic unit valve velocity vibration vibration monitoring viscosity visual inspection wear debris analysis
Referencias a este libro
Metal Cutting and High Speed Machining Daniel Dudzinski,Alain Molinari,H. Schulz Vista de fragmentos - 2002 |
Computational Intelligence In Manufacturing Handbook Jun Wang,Andrew Kusiak No hay ninguna vista previa disponible - 2000 |