Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

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graph) shows higher activity between channels 2 and 3, while the linear location graph based on the energy of the signals shows higher activity between channels 3 and 4. The part of the pipe between channels 2 and 3 was buried at shallow depth (about 40 cm) while the part between channels 3 and 4 was buried deeper in the ground (about 1.5 m). This probably results in significant attenuation difference between the two sections. This fact and the variability of threshold combined with the high ASL values that indicate a strong source may have resulted in the linear location not being exact. Initially, a 5-m length part of the pipe was exposed starting from channel 3 to channel 2. ASL was getting lower when measuring towards channel 2 along the pipe. Thus, it was decided to expose the part indicated by the energy graph and a big leak was found (Fig. 7). Fig. 6. ASL measurements (top) indicating the suspected area. AE acquisition linear location each one showing different locations near channel 3, after 25 minutes of acquisition. Fig. 7. Picture of the leak found by AE. 33
Test Case 5: Complex network pipes leak detection in a 100-0m, 4”-diameter pipeline. Complex network of pipes, transferring product from refinery to neighbour tank farms and filling stations was suspected for leak. The numerous branches of the lines connected to the main line made the detection difficult. Therefore, the primary aim of this test was to identify the suspect line and narrow the area of inspection prior to detailed investigation. When pressurized to approximately 25 bar, the pipe was reported to lose pressure (down to 0 bar) after 5-6 hours. Five (5) excavated areas provided access to the pipeline surface every 100 m. Together with the 6 pre-existing access points of the pipe, ASLs at totally 11 points were initially measured using portable AE equipment (PAC 5110) while the pressure was kept nearly constant at approx. 25 bar. The measurements provided a rough indication (see Fig. 8(b)). The test was focused at the area near point No. 7 and one more point was excavated providing additional access (point No. 12). The suspected leak area was narrowed down between points 11, 7 and 12 (see Fig. 8(a)). One more hole was opened near point No. 7 and a T-joint of the pipe was exposed (see Fig. 9). The high ASL measurements at the T-joint confirmed once more the initial indication of the leak. 34 (a)
Page 2 and 3: Journal of Acoustic Emission, Volum
Page 4 and 5: and HISAKAZU MORI 233-240 27-241 EF
Page 6 and 7: JOURNAL OF ACOUSTIC EMISSION Editor
Page 8 and 9: MEETING CALENDAR: EWGAE29 EWGAE-201
Page 10 and 11: eference in that document to see if
Page 12 and 13: AE LITERATURE Chinese Acoustic Emis
Page 14 and 15: Li Guanhai, Liu Shifeng (Tsinghua U
Page 16 and 17: Monitoring during Landing Gear Cont
Page 18 and 19: MONITORING THE CIVIL INFRASTRUCTURE
Page 20 and 21: including stringers, floor beams (i
Page 22 and 23: Fig. 3. A sensor array for monitori
Page 24 and 25: Fig. 7. Maintenance follow-up recom
Page 26 and 27: Fig. 9 Fatigue-prone location on th
Page 28 and 29: ACOUSTIC EMISSION TESTING OF A DIFF
Page 30 and 31: adius of each other in order to pas
Page 32 and 33: Fig. 3. AE transducer arrays. (a) A
Page 34 and 35: References Holford, K. and Lark, R.
Page 36 and 37: Unfortunately, there are neither a
Page 38 and 39: Table 2: Total damage extension of
Page 40 and 41: Some structures, even when visibly
Page 42 and 43: identification processes leading to
Page 44 and 45: ACOUSTIC EMISSION LEAK DETECTION OF
Page 46 and 47: evaluate and to calculate the linea
Page 48 and 49: Further analysis was made on-site u
Page 52 and 53: Fig. 8. (a) Aerial photo of the com
Page 54 and 55: Fig. 12. ASL measurements at 8.3 ba
Page 56 and 57: Today’s modern AE systems offer i
Page 58 and 59: Fig. 1: Primary AE parameters [6].
Page 60 and 61: Fig. 4: Backpropagation neural netw
Page 62 and 63: does not drop below the set thresho
Page 64 and 65: Fig. 8: Amplitude histogram for a t
Page 66 and 67: Table 2 shows the tests for the 3.8
Page 68 and 69: Fig. 14: Cumulative energy versus c
Page 70 and 71: crack jumps have a higher amplitude
Page 72 and 73: etween these two fatigue life value
Page 74 and 75: Table 5: 25% HCF BPNN testing file.
Page 76 and 77: Fig. 23: Range of data used for 50%
Page 78 and 79: 4. Conclusions and Future Work Acou
Page 80 and 81: [15] Suleman, J., Korcak, A., Barso
Page 82 and 83: on the resin plate hardness or its
Page 84 and 85: Fig. 4 Schematics of cutting load a
Page 86 and 87: (a) Line force during idle cutting
Page 88 and 89: (a) Non-arranged die type, f imax /
Page 90 and 91: Fig. 11 Sensor position and impact
Page 92 and 93: Fig. 14 Relationship between Δf im
Page 94 and 95: DAMAGE ONSET AND GROWTH IN CARBON-C
Page 96 and 97: (a) (b) (c) Fig. 1. (a-b) Polarized
Page 98 and 99: Fig. 4(c). The dependency of the th
Page 100 and 101:
Fig. 6 (c) cumulative AE counts at
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as shown schematically in Fig. 8(a)
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(a) (b) (c) (d) Fig. 11. Micro-fail
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FUNDAMENTAL STUDY ON INTEGRITY EVAL
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Fig. 3 UT C-scan images of internal
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Fig. 7 AE signal peak amplitude and
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Fig. 9 Relationship between AE sign
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monotonically with load. As mention
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A phenomenon of stress wave generat
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where plus sign refers to the first
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kHz. The result of filtration is sh
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Sphere radius, R, mm Sphere mass, m
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Regime ρV 2 /Yd (MPa) Approximate
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a b Fig. 6. AE signal at the remote
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a b Fig. 9. AE waveforms from impac
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9. А.А. Harkevich, Spectrums and
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amplitudes in the AE signals. In th
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Fig. 2. Signals from small aperture
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Fig. 4. Signals from small aperture
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during the duration of the direct w
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Fig. 8. Expanded time scale view of
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Fig. 10. Displacement signal result
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Fig. 12. Top surface out-of-plane d
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Fig. 14. Signals from small apertur
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Fig. 16. Filtered signal showing hi
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Fig. 18. WTs of the first 200 µs o
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Summary There are three summary obs
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FRACTURE BEHAVIOR IN BONE CHARACTER
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Fig. 2. Schematic diagram of static
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and AE events during loading were d
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References [1] Hirai T., Katayama T
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where and stand for the strain-hard
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Experimental The samples for mechan
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Fig. 4. Typical AE waveforms and th
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detected just before the upper yiel
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the AE energy in iron upon Lüders-
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The most intriguing issue, which ha
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ACOUSTIC AND ELECTROMAGNETIC EMISSI
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Fig. 2 Sample assembly: (a) setup f
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We have observed that the EME signa
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EME under Repeated Loading Rectangu
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the fact that the AE due to the fri
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Abstract IDENTIFICATION OF AE MULTI
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sensor/sonde/surface units have fla
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Fig. 3. Coherency between a pair of
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These multiplets may be related to
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Fig. 7. Hypocenter location and sou
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Accordingly, semi-supervised or uns
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Indeed, the AE events are also non-
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Fig. 5. Overlap plot of AE events f
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(a) Individual Events Test 1 Test 2
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Fig. 10. The distribution of event
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loading tests of concrete elements
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Fig. 4: Typical cracking of specime
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(a) Plain concrete. (b) Composite.
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3) T. Shiotani, M. Shigeishi and M.
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data cannot be recorded by most exp
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where A and I are the area and mome
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Fig. 3 Loading condition for the si
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4. Simulation Results 4.1 Stress-st
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dilatancy observed in an actual uni
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Fig. 9. Energy-frequency distributi
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After the AE cluster formation, mic
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Fig. 13 Spatial distribution of all
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7. J.F. Hazzard and R.P. Young: Int
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obvious that the calibrating AE sou
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Fig. 2. Geometry and schematic illu
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The boundary conditions for tempera
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Calculations have shown that in ord
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Fig. 9. Example of an AE sensor cal
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Hence, the distinct features and ad
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Developed Sensor Configuration Rela
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In this study, the sensor width was
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Fig. 8 Typical AE waveforms and the
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Fig. 11 Relationship between shell
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CORROSION DETECTION BY FIBER OPTIC
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sensor by an FOD sensor. Due to the
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Corrosion AE Monitoring AE monitori
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operated at the normal condition. S
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EFFECT OF SHOT PEENING ON THE DELAY
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Figure 1 shows the SSI and three-po
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stresses do not give any positive e
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Fig. 7 Examples of Lamb waveforms p
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Figure 10 shows results of an SSI t
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as-received strip. It is noted that
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Almen strips were charged in less a
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more AE transducers. AE events may
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Given the data with , and the new d
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Fig. 4. Projection of AE data: (a)
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Table 2. Feature-discriminated stat
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FLEXURAL FAILURE BEHAVIOR OF RC BEA
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Table 2. Weight loss of rebar after
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(a) Global (b) Close up (only skele
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AE hits. By comparison among corros
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dots). It seems that the ratio of A
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Fig. 1. The scheme of double-bottom
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Fig. 3. The other two at 2 and 7 o
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Fig. 6. Located AE sources with the
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Fig. 10. The intensity of recorded
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STUDY OF IDENTIFICATION AND REMOVAL
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Fig. 4 2D Location result with ch5-
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Fig. 8 Noise removal result with th
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Identification and removal for drop
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It was confirmed that a minimum thi
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A GENERIC TECHNIQUE FOR ACOUSTIC EM
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where ∆t exp are the experimental
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stone disc. Oolitic limestone is a
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CFC plate test, larger errors occur
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ACOUSTIC EMISSION TESTING - DEFININ
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What is the detection performance o
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A.3. Performance analysis - Calcula
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- Planar testing configuration (2.5
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Whereas in the planar testing confi
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We can see that full use of the pla
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B.3. Influence of the minimum numbe
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technique such as GBP in France, au
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Page 149 Elastic Waves in Solids Ro
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A Note from the Editor Kanji Ono Nu
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Page 173 5th Colloquium on AE D. Sc
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S78 S82 S86 S90 S94 On the Applicat
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S247 In-Process Acoustic Emission M
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Page i Appreciation K. Ono / Europe
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Page 83 Number 2 Page 85 Page 93 Pr
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Page 111 Page 119 Page 129 Page 129
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S53 S57 S62 S66 S70 S71 S75 "AE App
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S231 S236 Vessels", S238 S239 "Tool
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Number 4 Page 65 Page 93 Page 99 A
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Page 197 Page 203 Nondestructive Ev
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M. Momayez, F. P. Hassani and H. R.
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Number 3 Page C1-C24 Page 95-99 Pag
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12th International Acoustic Emissio
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Source Simulation Analysis Hiroaki
Page 364 and 365:
Page S70-S79 Page S80-S88 Page S90-
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Page S343 Page i-iii Page iii Page
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A. Tsimogiannis, B. Georgali, and A
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VOLUME 19, 2001 ACOUSTIC EMISSION E
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VOLUME 20, 2002 Contents 20-001 DAM
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20-285 ACOUSTIC EMISSION CHARACTERI
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21-197 New Concept Of Ae Standard:
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22-243 Rods And Tubes As Ae Wavegui
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23-196 Ae And Electrochemical Noise
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Kazuaki Arai, Katsuyuki Kaiho, Hiro
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25-132 A SIMPLE METHOD TO COMPARE T
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25-373 IMPACT IMAGING METHOD TO MAP
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High-Voltage Electric Devices Jan P
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27-212 ELECTROMAGNETIC METHOD OF EL
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Authors Index, Volumes 1-27 (1982-2
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Thomas Bidlingmaier 14-S47 Jacek M.
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S. Y. Chuang 4-S137 S. S. Christian
Page 398 and 399:
J.-P. Favre 9-97 Carol Featherston,
Page 400 and 401:
Y. Haddad 8-S314 M. E. Hager 8-S42
Page 402 and 403:
Y. Ichimura 19-142 Makoto Ichinose
Page 404 and 405:
Kunihisa Katsuyama 11-S27 Harold E.
Page 406 and 407:
MOSHE KUPIEC, 27-077 D. S. Kupperma
Page 408 and 409:
Eric Madaras 23-037 M. R. Madhava 8
Page 410 and 411:
F. Mostert 18-189 Andre Moura 23-10
Page 412 and 413:
Tatsuma Ohnishi 19-109 Tadashi Onis
Page 414 and 415:
M. Raab 20-274 Amani Raad 20-300 Ja
Page 416 and 417:
Keiichi Sato, 4-S240, 8-S213, 9-209
Page 418 and 419:
Wolfgang Stengel 4-S312 D. Stöver
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R.G. Tobin 8-25 Akira Todoroki 26-1
Page 422 and 423:
M. Wevers, 4-S186, 8-S272, 13-79, 1
Page 424:
Daihua Zou 5-S1 Ryszard Zuchowski 2
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Journal of AE, Volume 27, 2009 (ca. 35 MB) - AEWG

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