tư duy 1 1 khái niệm chung về tư duy

Lenze8200 Vector Data code table

... 15 A B16 A 17 M6 A 5A B6 A 17 M6 A 5A B6 A 1. 5 15 M10 A 10 A B10 A 1. 5 15 M10 A 10 A B10 A Cable cross-section mm2 AWG 17 1. 5 15 2.5 14 x 1. 5 x 15 17 1. 5 15 2.5 14 2.5 14 17 17 1. 5 15 1. 5 15 Observe ... VDE 17 M6 A 5A B6 A 1. 5 15 1. 5 15 M10 A 10 A B10 A 2.5 14 M16 A 15 A B16 A x 1. 5 x 15 M20 A 20 A B20 A x 1. 5 x 15 17 M6 A 5A B6 A 1. 5 15 M10 A 10 A B10 A 2.5 14 M16 A 15 A B16 A 2.5 14 M16 A 15 ... 10 -9 10 -9 10 -9 10 -10 10 -11 10 -12 10 -12 10 -13 10 -15 10 .4 Central supply 10 .4 .1 Central supply via external...

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Lenze 8200 vector data code table

Danh mục: Điện - Điện tử

... 15 A B16 A 17 M6 A 5A B6 A 17 M6 A 5A B6 A 1. 5 15 M10 A 10 A B10 A 1. 5 15 M10 A 10 A B10 A Cable cross-section mm2 AWG 17 1. 5 15 2.5 14 x 1. 5 x 15 17 1. 5 15 2.5 14 2.5 14 17 17 1. 5 15 1. 5 15 Observe ... VDE 17 M6 A 5A B6 A 1. 5 15 1. 5 15 M10 A 10 A B10 A 2.5 14 M16 A 15 A B16 A x 1. 5 x 15 M20 A 20 A B20 A x 1. 5 x 15 17 M6 A 5A B6 A 1. 5 15 M10 A 10 A B10 A 2.5 14 M16 A 15 A B16 A 2.5 14 M16 A 15 ... 10 -9 10 -9 10 -9 10 -10 10 -11 10 -12 10 -12 10 -13 10 -15 10 .4 Central supply 10 .4 .1 Central supply via external...

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ADAPTIVE FAULT DETECTION AND CONDITION MONITORING OF INDUCTION MOTOR

Danh mục: Tổng hợp

... bearing fault 19 fs fo (Hz) (Hz) k =1 k=2 k=3 20 35 .1 15 .1 50 .1 85.2 25 43.8 18 .8 62.7 10 6.5 15 0.3 19 4.2 238.0 2 81. 8 325.6 369.5 413 .3 457 .1 31. 5 55.2 23.7 79.0 13 4.2 18 9.4 244.6 299.9 355 .1 410 .3 465.5 ... 4 .1 37 Wavelet 20Hz 9704.76 15 93.23 25Hz 3402.42 31. 5Hz Wavelet Energy Signal 2.87 0.86 0.88 0.47 8449.72 11 87.94 10 .10 0. 91 0. 51 287 .14 27 71. 20 72 21. 85 2439.52 12 3. 81 1.30 37.5Hz 30.55 446. 51 ... k=3 k=4 90 .1 125.2 16 0.3 19 5.3 230.4 265.4 300.5 335.6 370.6 405.7 43.8 68.8 11 2.7 15 6.5 200.3 244.2 288.0 3 31. 8 375.6 419 .5 463.3 507 .1 31. 5 55.2 86.7 14 2.0 19 7.2 252.4 307.6 362.9 418 .1 473.3...

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filtering control and fault detection with randomly occurring incomplete information

Danh mục: Kỹ thuật lập trình

... Nonlinearities 5.4 .1 Problem Formulation 5.4.2 Main Results Illustrative Examples 5.5 .1 Example 5.5.2 Example 5.5.3 Example 5.5.4 Example Summary 10 1 10 2 10 5 10 9 11 5 11 5 11 8 12 2 12 2 12 4 12 7 13 7 13 8 6 .1 6.2 ... ˆ 11 ˆ ϒ 21 ∗ ˆ ϒ22 < 0, (2.34) and T P1k +1 + P2k +1 − P3k +1 − P3k +1 − k +1 (2.35) are satisﬁed with the parameters updated by ˆ 1 Mk +1 = Mk +1 and ˆ 1 Nk +1 = Nk +1 , where ∗ ¯ 22k , 11 = ¯ 11 k ... Summary 15 0 15 0 15 5 15 8 15 8 16 2 17 0 7 .1 7.2 7.3 7.4 Distributed Filtering over Sensor Networks with Saturations Problem Formulation Main Results An Illustrative Example Summary 17 1 17 1 17 6 18 2 18 7...

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[Khiem] improvement of matrix converter drive reliability by online fault detection and a fault tolerant switching strategy IEEE trans

Danh mục: Điện - Điện tử

... no 5, pp 11 50 11 61, Sep./Oct 19 99 [ 21] S Bolognani, M Zordan, and M Zigliotto, “Experimental fault-tolerant control of a PMSM drive,” IEEE Trans Ind Electron., vol 47, no 5, pp 11 34 11 41, Oct 2000 ... 1) For SxC , the affected sectors are 5–8 for ix < and 11 , 12 , 1, and for ix > 2) For SxB , the affected sectors are 1 4 for ix < and (7 10 ) for ix > 3) For SxA , the affected sectors are 9 12 ... pp 16 48 16 61, May 2 011 [34] S Kim, S.-K Sul, and T A Lipo, “AC/AC power conversion based on matrix converter topology with unidirectional switches,” IEEE Trans Ind Appl., vol 36, no 1, pp 13 9 14 5,...

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báo cáo hóa học: " Fault detection for hydraulic pump based on chaotic parallel RBF network" docx

Danh mục: Hóa học - Dầu khí

... failure detection: the threshold selector IEEE Trans Autom Control 33, 11 06 11 15 (19 88) doi :10 .11 09/9 .14 432 doi :10 .11 86 /16 87- 618 0-2 011 -49 Cite this article as: Lu et al.: Fault detection for hydraulic ... 13 (1) , 17 7 18 3 (19 98) doi :10 .11 09/59.6 516 33 DL Yu, JB Gomm, D Williams, Sensor fault diagnosis in a chemical process via RBF neural networks Control Eng Practice 7 (1) , 49–55 (19 99) doi :10 .10 16/S0967-06 61( 98)0 016 7 -1 ... Neural Comput 3(2), 246–257 (19 91) doi :10 .11 62/ neco .19 91. 3.2.246 T Poggio, F Girosi, Networks for approximation and learning Proc IEEE 78(9), 14 81 14 97 (19 90) doi :10 .11 09/5.58326 S Chen, Nonlinear...

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Báo cáo hóa học: "Bearing Fault Detection Using Artiﬁcial Neural Networks and Genetic Algorithm" pdf

Danh mục: Báo cáo khoa học

... (%) 1, 2, 5, 6, 1, 2, 11 , 12 , 13 30, 38, 39 11 , 13 , 27 10 0 95.83 10 0 98. 61 97.22 10 0 GA with RBF Features σ Test success (%) 1, 2, 5, 6, 1, 4, 10 , 12 , 14 28, 33, 37 11 , 12 , 14 0.90 0.80 0.50 0 .10 ... 5, 21, 42 17 4, 14 , 26 28 9, 21, 41 23 95.83 10 0 95.83 8, 13 , 41 3, 4, 29 3, 12 , 21 0.90 0.50 0.80 10 0 95.83 87.50 3, 10 , 13 6, 14 , 32 19 , 42, 44 0.60 0.30 0.50 10 0 10 0 10 0 4 .17 % FNR and 1. 39% ... (s) Test success (%) 1, 2, 2, 3, 4, 10 , 11 , 14 , 21, 22, 25 28, 29, 33, 37, 39, 43 1, 5, 10 , 20, 29, 32 0.20 0 .10 0 .10 0 .10 36.893 39.797 41. 130 37.664 97.22 94.44 95.83 10 0 6.4 Results with second...

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Fault detection and correction modeling of software systems

Danh mục: Cao đẳng - Đại học

... 13 2 .1 SOFTWARE RELIABILITY MODELS .13 2 .1. 1 Goel-Okumoto Model 15 2 .1. 2 Duane Model 16 2 .1. 3 Yamada Delayed S-shaped Model 16 2 .1. 4 K-stage ... 11 2 6.8 SUMMARY 11 4 CHAPTER BAYESIAN NETWORKS MODELING FOR SOFTWARE INSPECTION EFFECTIVENESS 11 6 7 .1 SOFTWARE INSPECTION PROCESS 11 8 7.2 BAYESIAN ... CORRECTION PROCESS 41 4 .1 MAXIMUM LIKELIHOOD ESTIMATION 41 4 .1. 1 Point Estimation 41 4 .1. 2 Interval Estimation .45 4 .1. 3 Modified Likelihood Function...

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Fault detection and isolation with estimated frequency response

Danh mục: Tổng hợp

... odd k2 1 i=k1 k3 1 ωi i=k2 kp +1 ωi i=kp ωi · · · ωi · · · kp +1 i=k1 k3 1 i=k2 kp +1 i=kp ωi k2 1 i=kp ωi · · · k2 1 i=k1 k3 1 i=k2 kp +1 i=kp (2.36)  n 1 ωi n 1 ωi n 1 ωi   ... T r N12 = [a1 − a2 − 1 − a3 ]     (2. 51) ΩT N12 rT N23 T r N13 = (1 − a3 )ΩT N12 = iﬀ a3 =  ΩT N  23  = [a1 − a2 − 1 − a3 ]   = (a1 − 1) ΩT N23 = iﬀ a1 = 1    T = [a1 − a2 − 1 − a3 ... k2 1 i=k1 k3 1 i=k2 k4 1 i=k3 k2 1 i=k1 k3 1 i=k2 k4 i=k3 ωi ωi ωi k2 1  ωi    a1 −   ωi   a2 −  i=k2  k4 − a3  ωi i=k1 k3 1      (2.49) i=k3 where ωi +1 − ωi = 1 = 0.0245rad/s,...

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Applications of multiv ariate analysis techniques for fault detection, diagnosis and isolation

Danh mục: Tổng hợp

... 1. 4.2 Process History Based models 1. 5 Motivation 1. 6 Organization of the thesis 11 CHAPTER LITERATURE REVIEW 2 .1 Statistical Process Control 12 2.2 PCA and PLS 14 2.2 .1 PCA – the algorithm 14 ... Depropanizer Process 10 0 CHAPTER CONCLUSIONS AND RECOMMENDATIONS 5 .1 Conclusions 11 1 5.2 Recommendations for Future Work 11 1 REFERENCES 11 3 iii Summary In this study, powerful multivariate tools such ... 3 .1 3.2 3.3 3.4 Quadruple Tank System 31 3 .1. 1 Process Description 31 3 .1. 2 Results 36 Tennessee Eastman Process (TEP) 46 3.2 .1 Process Description 46 3.2.2 Results 50 Depropanizer Process 61...

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Condition monitoring and fault diagnosis of induction machine using artificial intelligence methods and empirical mode decomposition

Danh mục: Tổng hợp

... 40% 10 % - [8] 10 % - [9] 45% - [10 ] 52% 25% 6% 17 % [11 ] 41% 37% 10 % 12 % [12 ] 50% 40% 10 % - [13 ] 40% - By taking the average across the rows of Table 1. 2, the following table is derived Table 1. 3: ... 10 2 Figure 6.8: IMF10 and IMF 11 (residue) of the machine signatures at 20Hz 10 3 Figure 6.9: IMF10 and IMF 11 (residue) of the machine signatures at 30Hz 10 3 Figure 6 .10 : IMF10 and IMF 11 ... FR 1   Dc  (2 .10 ) FO  N B  Db cos    FR  1  D c   (2 .11 ) FI  N B  Db cos    FR  1  Dc   FC  (2 .12 ) 22 Dc   Db cos      FB  FR 1   Db   Dc     (2 .14 )...

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Condition monitoring and fault diagnosis of induction machine using artificial intelligence methods and empirical mode decomposition

Danh mục: Tổng hợp

... 40% 10 % - [8] 10 % - [9] 45% - [10 ] 52% 25% 6% 17 % [11 ] 41% 37% 10 % 12 % [12 ] 50% 40% 10 % - [13 ] 40% - By taking the average across the rows of Table 1. 2, the following table is derived Table 1. 3: ... 10 2 Figure 6.8: IMF10 and IMF 11 (residue) of the machine signatures at 20Hz 10 3 Figure 6.9: IMF10 and IMF 11 (residue) of the machine signatures at 30Hz 10 3 Figure 6 .10 : IMF10 and IMF 11 ... FR 1   Dc  (2 .10 ) FO  N B  Db cos    FR  1  D c   (2 .11 ) FI  N B  Db cos    FR  1  Dc   FC  (2 .12 ) 22 Dc   Db cos      FB  FR 1   Db   Dc     (2 .14 )...

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Fault detection and forecast in dynamical systems

Danh mục: Tổng hợp

... 78 79 80 80 81 82 82 91 92 92 93 93 94 94 95 95 96 10 0 10 1 10 1 10 2 10 2 10 3 10 3 10 4 10 4 vii LIST OF SYMBOLS “FDD” Fault detection and diagnosis “FDI” Fault detection and isolation “F -16 ” Lockheed ... simulation Table Fault code F1 F2 F3 F4 F5 F6 F7 Fault coding Components (1, 0, 0)T (0, 1, 0)T (0, 0, 1) T (1, 1, 0)T (1, 0, 1) T (0, 1, 1) T (1, 1, 1) T 29 CHAPTER 3 .1 FAULT DETECTION Methodology ... e s ) 10 00 P H I (d e g re e s ) -10 00 -2000 -3000 10 15 20 Time (sec) 25 30 P S I (d e g re e s ) -10 0 10 15 20 Time (sec) 25 30 10 15 20 Time (sec) 25 30 10 15 20 Time (sec) 25 30 10 15 20...

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Applications of multiv ariate analysis techniques for fault detection, diagnosis and isolation

Danh mục: Kỹ thuật

... 1. 4.2 Process History Based models 1. 5 Motivation 1. 6 Organization of the thesis 11 CHAPTER LITERATURE REVIEW 2 .1 Statistical Process Control 12 2.2 PCA and PLS 14 2.2 .1 PCA – the algorithm 14 ... Depropanizer Process 10 0 CHAPTER CONCLUSIONS AND RECOMMENDATIONS 5 .1 Conclusions 11 1 5.2 Recommendations for Future Work 11 1 REFERENCES 11 3 iii Summary In this study, powerful multivariate tools such ... 3 .1 3.2 3.3 3.4 Quadruple Tank System 31 3 .1. 1 Process Description 31 3 .1. 2 Results 36 Tennessee Eastman Process (TEP) 46 3.2 .1 Process Description 46 3.2.2 Results 50 Depropanizer Process 61...

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Moving PCA for process fault detection a performance and sensitivity study

Danh mục: Tổng hợp

... [6] √ h0 cα 2θ2 θ2 h0 (h0 − 1) Qα = 1 +1+ 1 12 1/ h0 (1. 14) Where: m σj2i (1. 15) 2 1 θ3 3θ22 (1. 16) θi = j=a +1 h0 = − cα is the normal deviate corresponding to the (1 − α) percentile σj2 is the ... 200 200 10 0 10 0 0 500 10 00 samples 0 Temperature T84 913 Temperature T840 71 Volumetric flow F84 911 Level percentage L84 011 Pressure P84008 Level percentage L84 011 Temperature T84 913 500 10 00 samples ... Q statistic can be determined as follows according to [28] 20 Qα = gχ2h;α (1. 17) Where: g= θ2 1 (1. 18) h= 12 θ2 (1. 19) All of these control limits for Q statistic were derived based on assumptions...

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Neural network approach for sensor fault detection and accommodation

Danh mục: Tổng hợp

... (k 1) ∂w2 ,1 after 10 4 epoches training is restrained (see Figure 3.6) The term dx−dWx(2,2 ,1) restrained after 10 4 epoches of training 0 .1 dx−dWx(2,2 ,1) 0.05 −0.05 −0 .1 −0 .15 20 40 60 80 10 0 12 0 ... xj (k − 1) , the Equation (3 .1) reduces to (3.2) n x wi,j (k − 1) xj (k − 1) + wiu (k − 1) u(k − 1) vi (k) = j =1 xi (k) = vi (k) xcj (k) = xj (k − 1) (3.2) n wiy (k − 1) xi (k) y(k) = i =1 Equation ... by Elman with TDL method -2 Residue signal -4 -6 -8 -10 -12 -14 -16 200 400 600 800 10 00 12 00 14 00 16 00 18 00 2000 Time (second) Figure 3 .18 : Residue signal generated by Elman network with TDL...

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TOMAN’S TUBERCULOSIS CASE DETECTION, TREATMENT, AND MONITORING pdf

Danh mục: Y học thưởng thức

... observations Negative Scanty 1+ 2+ 3+ Negative Scantyc 1+ 2+ 3+ 233 24 25 8 11 16 18 39 49 4 50 12 0 268 41 43 11 5 17 7 Total 267 44 40 11 5 17 8 644 } a b c 309 } 335 } 311 } 333 Source: David HL et ... 233 15 9 15 6 10 8 11 1 10 0 84 19 6 12 0 2 1 1453 (10 0%) 38 (2.6%) 19 (1. 3%) A B C D E F G H I Total a Read as smear-positive at: Source: reference 19 TOMAN’S TUBERCULOSIS oratory, which reported 1. 3% ... result in 10 0 or more fieldsb 1 2 in 300 fields 1 9 in 10 0 fields 1 9 in 10 fields 1 9 per field 10 or more per field

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Security Monitoring: Proven Methods for Incident Detection on Enterprise Networks ppt

Danh mục: Hệ điều hành

... Conclusion 10 2 10 2 10 3 10 8 10 8 11 0 11 4 11 6 12 1 12 4 12 6 12 7 13 2 13 3 13 6 13 9 14 1 14 2 14 3 14 3 14 5 14 5 14 6 14 6 14 6 14 6 14 6 Maintain Dependable Event Sources 14 7 Maintain ... and Tune Maintain Dependable Event Sources Conclusion 18 2 18 2 18 4 18 5 18 6 18 6 18 8 18 9 18 9 19 2 19 4 19 4 19 5 19 6 19 6 19 7 19 8 19 8 19 9 200 2 01 A Detailed OSU flow-tools Collector Setup ... Databases Monitor Oracle Monitor MySQL Servers Automated System Monitoring 14 9 14 9 15 0 15 1 15 2 15 3 15 4 15 5 15 7 16 1 16 4 16 4 16 6 16 7 Table of Contents | vii Download at Boykma.Com Traditional Network...

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Báo cáo hóa học: " Research Article Adaptive Parameter Identiﬁcation Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection" pptx

Danh mục: Hóa học - Dầu khí

... 1. 995 0.9 −9.0 012 0 .18 12 5 .15 0. 012 6.95 0.2688 2. 010 1. 0 10 .0057 0 .17 18 4.86 0. 012 6.95 0.28 51 1.990 1. 1 10 . 819 7 0 .14 21 4.99 0. 015 0.95 0.2802 2.000 1. 2 11 .5463 0 .14 48 4.99 0. 016 1. 05 0.2695 ... 0 .1 10. 012 0 0.2 3.9053 0.3 0.6009 0.4 −2. 310 1 0.5 −4 .11 44 0.6 −5.6627 Success rate 10 0% 96% 90% 95% 81% 92% An 0.7 0.8 0.9 1. 0 1. 1 1. 2 SNR (dB) −7.0026 −7.8508 −9.0 012 10 .0057 10 . 819 7 11 .5463 ... 0.06 0.08 0 .1 Time (s) 0 .12 0 .14 0 .16 0 .18 0.2 PSD (m2 ·s−3 ) (a) 2000 10 00 0 500 10 00 15 00 Frequency (Hz) (b) kγ (τ) 0 .1 0.05 0 0.02 0.04 0.06 0.08 0 .1 Time (s) 0 .12 0 .14 0 .16 0 .18 0.2 (c) kT...

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Detection and resolution enhancement of laser induced fault localization techniques 1

Danh mục: Thạc sĩ - Cao học

... 2 010 2 013 80 90 300 1. 2 65 68 300 1. 1 45 45 300 0.65 32 32 300 NA 45 34 22.5 16 11 1 88 1. 74 14 0 11 0 2.78 14 0 93 5.52 14 0 16 93 11 .04 12 .2 11 10 19 19 .5 11 14 39 46 .1 12 2222 92.4 13 312 5 0.9 -1. 1 ... application 14 2 14 7 14 9 15 3 15 5 15 6 15 8 15 8 15 9 16 0 16 1 16 1 16 2 16 6 16 6 16 8 16 9 xxi _ Fig 7.5 sFig 7.6 Fig 7.7 Fig 7.8 Fig 7.9 Fig 7 .10 Fig 7 .11 Fig 7 .12 Fig 7 .13 Fig ... pulses at 1. 8 kHz and 14 2 Hz pulsing frequencies In-phase wideband lock-in detection output variation with pulsing 11 6 11 8 12 0 12 2 12 2 12 5 12 6 12 7 12 7 12 8 12 9 13 1 13 2 13 4 13 7 13 7 13 9 14 1 xx ...

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