Journal of AE, Volume 25, 2007 (ca. 26 MB) - AEWG

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26. Dunegan, H.L., Modal analysis of acoustic emission signals, J. of Acoustic Emission, 15, 1997, 53-61. 27. Hardy, Jr. H.R., Acoustic Emission Microseismic Activity, Vol. 1: Principles, Techniques and Geotechnical Applications, Taylor & Francis, 292 p., 2003. 28. Shiotani, T., Nakanishi, Y., Iwaki, K., Luo, X., Haya, H., Evaluation of reinforcement in damaged railway concrete piers by means of AE, J. of Acoustic Emission, 23, 2005, 233. 29. Niitsuma, H., Acoustic Emission – Beyond the Millenium, Elsevier, 2000, pp. 109-125. See also Moriya, H., Niitsuma, H., Baria, R., Measurement of hydraulically activated subsurface fracture system in geothermal reservoir by using AE multiplet-clustering analysis, J. of Acoustic Emission, 23, 2005, 113. 30. Gorman M.R. and Prosser W.H., AE source orientation by plate wave analysis, J. of Acoustic Emission, 9, 1990, 283-288. 31. Uchida F., Nishino H., Takemoto M. and Ono K., Cylinder wave analysis for AE source location and fracture dynamics of stress corrosion cracking of brass tube, J. of Acoustic Emission, 19, 2001, 75-84. 32. Suzuki H., Takemoto M. and Ono K., The fracture dynamics in a dissipative glass-fiber/ epoxy model composite with AE source simulation analysis, J. of Acoustic Emission, 14, 1996, 35- 50. 33. Kanagawa T., Nakasa H. “Method of estimating ground pressure”. U.S. Patent No. 4107981 (1978). 34. Yoshikawa S., and Mogi, K., Experimental studies on the effect of stress history on acoustic emission activity: a possibility for estimation of rock stress, J. of Acoustic Emission, 8(4): 1989, 113-123. 35. Lavrov, A., Wevers, M., and Vervoort, A., Acoustic emission during monotonic and cyclic deformation of a brittle limestone, J. of Acoustic Emission, 20, 2002, 292. 36. Wood, B.R.A., Harris, R.W. and Porter, E.L., Structural integrity and remnant life evaluation using acoustic emission techniques, J. of Acoustic Emission, 17, 1999, 121-126. 37. Tsuji N., Uchida M., Okamoto T. and Ohtsu M., Application of acoustic emission technique to evaluation of cracking in concrete structures, in Progress in Acoustic Emission X, pp. 189-194, JSNDI, 2000. 38. Takuma M., Shinke N., Nishiura T. and Akamatu K., Acoustic emission evaluation system of tool life for shearing of piano and stainless steel wires, J. of Acoustic Emission, 24, 2006, 52- 66. 39. Mizutani, Y., Onishi, T. and Mayuzumi, M., Plastic-region tightening of bolts controlled by acoustic emission method, Proc. ICAE-6, Lake Tahoe, 2007, pp. 120-125. Also see: J. of Acoustic Emission, 25, 2007, 239-246. 18
40. http://en.wikipedia.org/wiki/Mahalanobis_distance. 41. Suzuki, H., Kinjo, T., Hayashi, Y., and Ono, K., with Appendix by Hayashi Y., Wavelet transform of acoustic emission signals, J. of Acoustic Emission, 14, 1996, 69-84. 42. Takemoto, M., Nishino, H. and Ono K., Wavelet transform – Applications to AE signal analysis, Acoustic Emission – Beyond the Millennium, Elsevier, 2000, pp. 35-56. 43. AGU-Vallen Wavelet transform software, version R2007.0309, Vallen-Systeme GmbH, I- cking, Germany (2007). Available at http://www.vallen.de/wavelet/index.html 44. Mizutani, Y., Nagashima, K., Takemoto, M., Ono, K., Fracture mode classification in locally loaded cross-ply CFRP coupons using wavelet transform, Proc. of AECM-6, ASNT, Texas, 1998, pp. 114-123; and Fracture mechanism characterization of cross-ply carbon-fiber composites using acoustic emission analysis, NDT & E International, 33(2), 2000, 101-110. 45. Beattie, A.G., Acoustic emission monitoring of a fatigue test of a TX wind turbine blade. (to be published). See also Rumsey M.A., Paquette J., White J., Werlink, R.J., Beattie A.G., Pitchford C.W. and van Dam, J., Experimental results of structural health monitoring of wind turbine blades, Proc. 46 th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Jan 7-10, 2008. AIAA- 2008-1348, Rumsey. 46. Ge, M., Analysis of source location algorithms, Parts I and II, J. of Acoustic Emission, 21, 2003, 14 and 29. 47. Manthei, G., Eisenblätter, J., and Spies, T., Acoustic emission in rock mechanics studies”, Acoustic Emission – Beyond the Millenium, 2000, Elsevier, pp. 127-143. 48. Spies, T. and Eisenblätter, J., Acoustic emission monitoring of closely spaced excavations in an underground repository”, J. of Acoustic Emission, 19, 2001, 153-161. 49. Hirata, T., Satoh, T., and Ito, K., Geophysical Journal International, 90, 1987, 369-374. 50. Iverson, N., Kao, C.S. and Labuz, J.L., Clustering analysis of AE in rock, Proc. ICAE-6, Lake Tahoe, 2007, pp. 294-299. Also see: J. of Acoustic Emission, 25, 2007, 364-372. 51. Watanabe, Y., Itakura, K.I., Sato, K., Fujii, Y., Balusu, R., Guo, H. and Luo, X., A modeling method on fractal distribution of cracks in rocks using AE monitoring, J. of Acoustic Emission, 23, 2005, 119. 52. Yamada, H., Mizutani, Y., Nishino, H., Takemoto, M. and Ono, K. Lamb-wave source location of impact on anisotropic plates, J. of Acoustic Emission, 18, 2000, 51. 53. Kurokawa, Y., Mizutani, Y. and Mayuzumi, M., Real-time executing source location system applicable to anisotropic thin structures, J. of Acoustic Emission, 23, 2005, 224. 19
Page 3 and 4: JOURNAL OF ACOUSTIC EMISSION VOLUME
Page 5 and 6: 25-194 ACOUSTIC EMISSION SOURCE LOC
Page 7 and 8: Volume 25 (2007) AUTHORS INDEX DIMI
Page 9 and 10: YUICHI TOMODA, 25-021 T. TOUTOUNTZA
Page 11 and 12: Notes for Contributors 1. General T
Page 13 and 14: In Memoriam H. Reginald Hardy, Jr.
Page 15 and 16: STRUCTURAL INTEGRITY EVALUATION USI
Page 17 and 18: The power-law AE behavior was recen
Page 19 and 20: sorting out the original signals, e
Page 21 and 22: Wood [36] in Australia has been usi
Page 23 and 24: One needs to appreciate the difficu
Page 25 and 26: In geotechnical applications, the p
Page 27 and 28: methods include the use of combined
Page 29 and 30: should take. Past attempts for stru
Page 31: 11. Suzuki, T., Ohtsu, M., Aoki, M.
Page 35 and 36: Abstract ACOUSTIC EMISSION TECHNIQU
Page 37 and 38: Fig. 1 Damage qualification by the
Page 39 and 40: After adding the data of a tested s
Page 41 and 42: Fig. 8 Sketch of a reinforced concr
Page 43 and 44: (3) Corrosion Process of Reinforced
Page 45 and 46: analysis. Corrosion cracking was si
Page 47 and 48: ACOUSTIC EMISSION MONITORING OF REI
Page 49 and 50: which - contrary to current beliefs
Page 51 and 52: Fig. 4. Applied load (actuator 1) a
Page 53 and 54: concrete and the jacket. Visual ins
Page 55 and 56: Based on conventional analysis, AE
Page 57 and 58: 2. Experimental The model pipe syst
Page 59 and 60: pressure, respectively. This is ana
Page 61 and 62: Fig. 6: Power spectra from fast Fou
Page 63 and 64: small leaks (below 0.1 mm diameter)
Page 65 and 66: ACOUSTIC EMISSION TECHNIQUE APPLIED
Page 67 and 68: parameters in time domain and (c) m
Page 69 and 70: above the threshold level of 40 dB
Page 71 and 72: energy, i.e., high amplitude and lo
Page 73 and 74: An optical microscopy observation o
Page 75 and 76: Continuous WT (CWT) is defined as a
Page 77 and 78: Fig. 8. Typical AE waveforms, their
Page 79 and 80: followed by abrupt jumps in the det
Page 81 and 82: E. Landis (1999), “Micro-macro fr
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EVALUATION OF REPAIR EFFECT FOR DET
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Fig. 2 Sensor array for tomography
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2 [ ] 2 k 3 9 2 2 1 f () 0 f ()
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At these depths, a complicated and
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The number of AE hits after repair
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damage indices of Calm and Load rat
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PVDF is a semicrystalline polymer,
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After these preliminary tests, the
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of PVDF sensors does not seem to ha
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Fig. 10. Evolution of a typical PAD
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Fig. 17. Evolution of a typical dur
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I-G. Kim, H-Y. Lee and J-W. Kim (20
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Pencil-lead breaks are monopoles an
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Fig. 1 Displacement vs. time, sourc
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Fig. 5 Displacement vs. time, sourc
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Fig. 8 Displacement versus time for
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Fig. 10 Displacement vs. time. Sour
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Fig. 14 Signal amplitude versus tim
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To better relate these PLB and FEM
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HIGH-TEMPERATURE ACOUSTIC EMISSION
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thickness of 9 μm. The AlN element
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Fig. 5 Experimental setup for AE mo
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scales (and possibly salt cracks at
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DAMPING, NOISE, AND IN-PLANE RESPON
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The sharper resonance in Fig. 1c is
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i 2 RMS VDCC0 k BT = , g m 2 i
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ecause in-plane motion mostly produ
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4. B. Bahreyni, C. Shafai, Fabricat
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We first introduce our new quadridi
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Fig. 4 Amplitude profile as a funct
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Fig. 6 Change of room temperature (
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3) There are slight time lags in th
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Function Generator (FG) The functio
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Table 1 Results for continuous sens
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Fig. 7 pulse response XXX, filter :
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Fig. 11: Noise spectrum VS30-SIC-46
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waves propagate in a plate like str
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0.15 0 100kHz Driving pulse 10 100k
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0.45 0 100kHz Driving pulse 30 100k
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the sensor response to different fr
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CHARACTERISTICS OFACOUSTIC EMISSION
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Results and Discussion Shrinkage pr
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sapwood. Norway spruce wood consist
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most of the cells reached the fiber
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CHARACTERIZATION OF TITANIUM HYDRID
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Growth behavior of hydrides We stud
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were determined by the tensile test
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Figure 9 shows the Mode-I cracks in
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Results obtained are summarized as
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process of hydrogen destruction of
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Amplitude [dB] 60 55 50 45 40 35 30
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(Fig. 7) relative to the material a
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is shown in Table 1. Test specimens
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Fig. 4 Two types of AE signals dete
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the charging solution at 25 o C, by
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ANALYSIS OF ACOUSTIC EMISSION FROM
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nearly same waveforms for the first
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values). Most (11 of 14) of the rec
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Type-D (at 3.45 ms). In this sample
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NEURAL NETWORK BURST PRESSURE PREDI
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temperature, while the remaining se
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not properly set). This results in
Page 207 and 208:
Conclusions Table 3 Summary of trai
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accurate source locations could be
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Fig. 1 Group velocities versus freq
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plane source orientation. But the l
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Fig. 9 Out-of-plane displacement vs
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Fig. 11 WTs of Fig. 8 with superimp
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Fig. 13 WTs of Fig. 10 with superim
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Table 3 At 102 kHz, WT peak arrival
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Fig. 17 Frequency of maximum WT int
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Fig. 18 Arrangement of sensors (#1,
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location calculation result that yi
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NOVEL ACOUSTIC EMISSION SOURCE LOCA
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tion resolution. It should be noted
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The specimen with numerous holes wa
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Fig. 5. Comparison of location meth
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Conclusions Delta-T source location
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Our approach This conceptual view c
Page 241 and 242:
Voronoi Construction: Taking a case
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Fig. 6: Source location on a clamp
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PROBABILITY OF DETECTION FOR ACOUST
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POD is determined at the convergenc
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Fig. 2: Setup for illustrative runs
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Fig. 7: Probability of location (PO
Page 253 and 254:
AE signals were filtered by high-pa
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Fig. 3 Accuracy and variations of a
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Fig. 7 Accuracy and variations of a
Page 259 and 260:
eference data. The absolute values
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REAL-TIME DENOISING OF AE SIGNALS B
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600 500 400 300 200 kHz700 Frequenc
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the STFT result (Fig. 4(b)). Theref
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MONITORING THE EVOLUTION OF INDIVID
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the type of filtering, number of su
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was observed for either actuator. F
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Conclusions An experimental methodo
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the onset of pulses, consequently,
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zeros. The locations where a patter
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The reliability of the additional p
Page 281 and 282:
AE MONITORING OF SOIL CORROSION OF
Page 283 and 284:
Fig. 2 Cumulative AE counts with ap
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cumulative event counts and amplitu
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AE was monitored using three types
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Our conclusion from these tests is
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measurements with an Exxon Nuclear
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equipment manufacturer), CISE (AE t
Page 295 and 296:
Automatic testing of receptacles du
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The finalized standards are: • EN
Page 299 and 300:
14. Tscheliesnig P., Lackner G., He
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Fig. 1. Typical high-temperature cr
Page 303 and 304:
• Emission rates are much higher
Page 305 and 306:
Fig. 4. Results of AE monitoring of
Page 307 and 308:
examination at 2000-5000X was able
Page 309 and 310:
samples extracted from the beam aft
Page 311 and 312:
The relative comparison of the size
Page 313 and 314:
Fig. 3. Schema of VB Application fo
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Fig. 5. Microstructural observation
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Fig. 7 AE source locations for diff
Page 319 and 320:
Fig. 9 CT images and corresponding
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A.M. Brandt, G. Prokopski, J. Mater
Page 323 and 324:
conducted with AE technique. The AE
Page 325 and 326:
After location of the events, inter
Page 327 and 328:
The transit times of the individual
Page 329 and 330:
6) B. Schechinger, T. Vogel, Acoust
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greater than the available anchorag
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location uncertainty and is the roo
Page 335 and 336:
Figures 4 and 5 illustrate all loca
Page 337 and 338:
ig cracks form, localization of AE
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ased on magnetic induction, while i
Page 341 and 342:
Fig. 3. AE sensors positioning on b
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As a further evaluation of the degr
Page 345 and 346:
EARLY FAULT DETECTION AT GEAR UNITS
Page 347 and 348:
Acoustic Emission Analysis at Rotat
Page 349 and 350:
The fixed bearing at the beginning
Page 351 and 352:
The time-frequency components of a
Page 353 and 354:
Additionally, the gear test bench h
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APPLICATION OF ACOUSTIC EMISSION IN
Page 357 and 358:
Measurements of the acoustic backgr
Page 359 and 360:
Fig. 6. RMS for different ranges of
Page 361 and 362:
which indicate the transition from
Page 363 and 364:
surface condition. It has already b
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( 2 1) 2) ! kx1 ! k c ! x + c ! k (
Page 367 and 368:
Fig. 6: Signal above normal and def
Page 369 and 370:
DAMAGE ASSESSMENT OF GEARBOX OPERAT
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The waveform streaming can be trigg
Page 373 and 374:
Extracting features using different
Page 375 and 376:
The classifier was used to identify
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ASL spectral energy is further calc
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2 #_ of _ Sensors 2 2 2 ( x ) (
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Simulated Failure Plane One hundred
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It has been documented that the ini
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(a) (b) (c) (d) 95% _ 98% 98% _ 100
Page 387 and 388:
IMPACT IMAGING METHOD TO MAP DAMAGE
Page 389 and 390:
e) Step d) was repeated until the a
Page 391 and 392:
Panel A Panel B Panel C Panel D Fig
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