Lenze8200 Vector Data code table
... 9- 1 9- 1 9- 1 9- 1 9- 2 9- 2 9- 2 9- 2 9- 4 9- 5 9- 5 9- 6 9- 7 9- 7 9- 9 9- 9 9- 9 9- 10 9- 11 9- 15 9. 2 Automation with the function modules INTERBUS, PROFIBUS-DP, LECOM-B (RS485) 9- 18 9. 3 ... 7- 2 7- 2 7- 4 7- 4 7- 5 7- 6 7- 6 7- 7 7- 7 7- 8 7 -9 7 -9 7- 10 7- 12 7. 2 Setting of the limit values 7. 2.1 Speed range ... 7- 19 7- 19 7- 20 7- 23 7- 25 7- 26 7- 26 7- 26 7- 27 7.5 Entry/automatic detection of the motor data 7- 28 7. 6 Process controller,...
Ngày tải lên: 09/10/2015, 05:46
Lenze 8200 vector data code table
... 9- 1 9- 1 9- 1 9- 1 9- 2 9- 2 9- 2 9- 2 9- 4 9- 5 9- 5 9- 6 9- 7 9- 7 9- 9 9- 9 9- 9 9- 10 9- 11 9- 15 9. 2 Automation with the function modules INTERBUS, PROFIBUS-DP, LECOM-B (RS485) 9- 18 9. 3 ... 7- 2 7- 2 7- 4 7- 4 7- 5 7- 6 7- 6 7- 7 7- 7 7- 8 7 -9 7 -9 7- 10 7- 12 7. 2 Setting of the limit values 7. 2.1 Speed range ... 7- 19 7- 19 7- 20 7- 23 7- 25 7- 26 7- 26 7- 26 7- 27 7.5 Entry/automatic detection of the motor data 7- 28 7. 6 Process controller,...
Ngày tải lên: 09/10/2015, 06:31
... 366.2 432.0 4 97 .7 563.5 6 29. 2 695 .0 76 0 .7 43.5 76 .3 1 19. 8 196 .0 272 .3 348.6 424.8 501.1 577 .3 653.6 7 29. 9 806.1 882.4 50 87. 7 1 37. 7 225.3 313.0 400.6 488.3 576 .0 663.6 75 1.3 838 .9 926.6 1014.3 ... 0 .91 0.51 2 87. 14 277 1.20 72 21.85 24 39. 52 123.81 1.30 37. 5Hz 30.55 446.51 3 691 .23 6482. 87 295 3. 89 274 . 89 43.5Hz 4.84 70 .18 97 1.43 395 2.21 58 69. 95 2 877 .86 50Hz 1. 19 11.46 190 .91 1242.36 376 8.04 5258.63 ... 18.8 62 .7 106.5 150.3 194 .2 238.0 281.8 325.6 3 69. 5 413.3 4 57. 1 31.5 55.2 23 .7 79 . 0 134.2 1 89. 4 244.6 299 .9 355.1 410.3 465.5 520.8 576 .0 37. 5 65.8 28.2 94 .0 1 59. 7 225.5 291 .2 3 57. 0 422 .7 488.5...
Ngày tải lên: 26/09/2015, 10:59
... Formulation 4.4.2 Main Results Illustrative Examples 4.5.1 Example 4.5.2 Example 4.5.3 Example 4.5.4 Example Summary 73 74 74 75 76 76 78 80 83 83 87 89 89 91 94 97 99 5.6 Filtering and Fault Detection ... 155 158 158 162 170 7. 1 7. 2 7. 3 7. 4 Distributed Filtering over Sensor Networks with Saturations Problem Formulation Main Results An Illustrative Example Summary 171 171 176 182 1 87 8.1 8.2 8.3 8.4 ... Filtering with Quantization Errors: The Finite-Horizon Case Problem Formulation Main Results An Illustrative Example Summary 1 89 1 89 194 198 203 9. 1 Distributed Filtering for Markov Jump Nonlinear...
Ngày tải lên: 24/04/2014, 15:12
[Khiem] improvement of matrix converter drive reliability by online fault detection and a fault tolerant switching strategy IEEE trans
... 28, 195 9 He received the B.S degree in electrical engineering from the University of Tennessee, Knoxville, in 1 97 9, the M.S.E degree in electrical engineering from Princeton University, Princeton, ... and Technology, Taipei, Taiwan, in 198 0, 198 2, and 198 9, respectively From August 198 4 to July 198 9, he was an Instructor with the Department of Electrical Engineering, National Taiwan University ... “Real-time detection of intermittent misfiring in a voltage-fed PWM inverter induction-motor drive,” IEEE Trans Ind Electron., vol 44, no 4, pp 468– 476 , Aug 199 7 256 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,...
Ngày tải lên: 13/05/2014, 00:55
báo cáo hóa học: " Fault detection for hydraulic pump based on chaotic parallel RBF network" docx
... neco. 199 1.3.2.246 T Poggio, F Girosi, Networks for approximation and learning Proc IEEE 78 (9) , 1481–1 4 97 ( 199 0) doi:10.11 09/ 5.58326 S Chen, Nonlinear time series modeling and prediction using Gaussian ... doi:10.11 09/ 59. 651633 DL Yu, JB Gomm, D Williams, Sensor fault diagnosis in a chemical process via RBF neural networks Control Eng Practice 7( 1), 49 55 ( 199 9) doi:10.1016/S 096 7- 0661 (98 )001 67- 1 YM ... of input nodes of subnet RBFi When i = [n/2], the subRBFi subnet is called the central subnet Then, the number of input nodes of each subnet can be defined as Ini = In[ n/2] + i − n/2 (6) In this...
Ngày tải lên: 21/06/2014, 00:20
Báo cáo hóa học: "Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm" pdf
... = 0.1) 97 .22 90 .28 95 .83 95 .83 90 . 97 95 .83 Input features Data sets 100.0 50.00 98 .61 98 .61 98 .61 98 .61 97 .22 75 .00 94 .44 94 .44 94 .44 94 .44 1–4 5 9 1 9 10– 27 28–45 1–45 Table 3: Performance comparison ... 28, 29, 33, 37, 39, 43 1, 5, 10, 20, 29, 32 0.20 0.10 0.10 0.10 36. 893 39. 79 7 41.130 37. 664 97 .22 94 .44 95 .83 100 6.4 Results with second test data set In the previous sections, both training ... generations) Number of selected features MLP RBF PNN 100 98 .61 83.33 96 .53 83.33 88. 19 94. 79 97. 22 98 .61 97 .92 95 .83 97 .22 100 99 .31 100 100 100 100 Table 9: PNN performance with statistically normalized...
Ngày tải lên: 23/06/2014, 01:20
Fault detection and correction modeling of software systems
... combined with different release criteria, there are many papers dealing with this topic (Ross, 198 5; Dalal, 198 8; Littlewood, 199 7; Kimura et al., 199 9; Xie and Hong, 199 9; Zhang and Pham, 199 8; ... al., 198 7; Xie, 199 1; Lyu, 199 6; Pham, 2000) Bothe analytical and data-driven modeling approaches have their model assumptions which can be exposed by dividing the testing process into three sub-processes: ... role in military systems In the high automated aviation industry, misunderstandings between computers and pilots have been implicated in several airline crashes in the past few years (Lyu, 199 6)...
Ngày tải lên: 11/09/2015, 16:06
Fault detection and isolation with estimated frequency response
... (3 .7) Substitute (3 .7) into (3.4), we obtain: |Sux (ωk )|2 Suu (ωk )Syy (ωk ) |G(ωk )|2 Suu (ωk ) = since Sux (ωk ) = G(ωk )Suu (ωk ) Suu (ωk )Syy (ωk ) Sxx (ωk ) = since Sxx (ωk ) = |G(ωk )|2 Suu ... 77 Conclusions 78 7. 1 Findings and Conclusions 78 7. 2 Suggestions for future work 79 Author’s Publication 81 References 82 iv Summary ... in in =kn αi2 (2.41) kn+1 in in =kn in where |.| denotes the determinant Each determinant in (2.41) can also be written as: αi1 αi1 αi1 αk2 αk2 +1 αk3 −1 kn+1 in =kn + kn+1 αin...
Ngày tải lên: 12/09/2015, 11:35
Applications of multiv ariate analysis techniques for fault detection, diagnosis and isolation
... 4.2 Linear Discriminant Analysis 72 4.1.1 LDA – Introduction 72 4.1.2 Literature Survey 74 The integrated CA-WPSLDA methodology 75 4.2.1 Motivation 75 ii 4.2.2 A combined CA plus LDA model 76 4.2.3 ... timescales using slope (Cheung & Stephanopoulos, 199 0), finite difference (Janusz & Venkatasubramanian, 199 1) calculations and other methods after initially removing the noise in the data using noise-filters ... explained by Greenacre ( 198 7 and 198 8) and made popular in various applications including social sciences, medical data analysis and several other areas (Greenacre, 198 4 and 199 2) CA can be defined...
Ngày tải lên: 30/09/2015, 13:49
Condition monitoring and fault diagnosis of induction machine using artificial intelligence methods and empirical mode decomposition
... occurring machine fault modes The survey article in 198 5 [5] reveals that bearing fault is the most common machine fault mode The followings further survey and present the situation in the 199 0s ... result summary 88 Table 6.1: Similarity measures of same-indexed pair of machine current IMFs at 20Hz 98 Table 6.2: Similarity measures of same-indexed pair of machine current IMFs at 30Hz 98 ... Discussions: Larger Training Samples 72 5 .7 Visualization of Classification Results by k-NN 72 5.8 Fault Diagnosis using Frequency-Domain Vibration Signatures 75 5.8.1 Discrete Wiener...
Ngày tải lên: 03/10/2015, 21:57
Condition monitoring and fault diagnosis of induction machine using artificial intelligence methods and empirical mode decomposition
... occurring machine fault modes The survey article in 198 5 [5] reveals that bearing fault is the most common machine fault mode The followings further survey and present the situation in the 199 0s ... result summary 88 Table 6.1: Similarity measures of same-indexed pair of machine current IMFs at 20Hz 98 Table 6.2: Similarity measures of same-indexed pair of machine current IMFs at 30Hz 98 ... Discussions: Larger Training Samples 72 5 .7 Visualization of Classification Results by k-NN 72 5.8 Fault Diagnosis using Frequency-Domain Vibration Signatures 75 5.8.1 Discrete Wiener...
Ngày tải lên: 04/10/2015, 07:58
Fault detection and forecast in dynamical systems
... Singapore Capital Account Singapore National Reserve Month-on-Month Change Gold Price CBOE Volatility Index (VIX) 76 78 79 80 80 81 82 82 91 92 92 93 93 94 94 95 95 96 100 101 101 102 102 103 ... devastating effects on investments The Black Monday’s crash on 19 October 198 7 saw DJIA dropping by 22.6%, wiping out US$500 billion in stock value in a single day [ 47] It caused some investors ... Monday in 198 7, the Straits Times Index to predict its crash during the dot-com bubble and the Dow Jones Industrial Average to predict the crisis in 2008 The indicator approach involves determining...
Ngày tải lên: 06/10/2015, 20:50
Applications of multiv ariate analysis techniques for fault detection, diagnosis and isolation
... 4.2 Linear Discriminant Analysis 72 4.1.1 LDA – Introduction 72 4.1.2 Literature Survey 74 The integrated CA-WPSLDA methodology 75 4.2.1 Motivation 75 ii 4.2.2 A combined CA plus LDA model 76 4.2.3 ... timescales using slope (Cheung & Stephanopoulos, 199 0), finite difference (Janusz & Venkatasubramanian, 199 1) calculations and other methods after initially removing the noise in the data using noise-filters ... explained by Greenacre ( 198 7 and 198 8) and made popular in various applications including social sciences, medical data analysis and several other areas (Greenacre, 198 4 and 199 2) CA can be defined...
Ngày tải lên: 12/10/2015, 17:34
Moving PCA for process fault detection a performance and sensitivity study
... achieved using moving window size of – process time constant, PCs, and 99 % – 99 .9% confidence limits In addition, several monitoring indices including conventional statistics (T and Q), combined QT ... loading vectors Upon retaining the first a singular values, the loading matrix P ∈ Rm×a is obtained by selecting the corresponding loading vectors The projections of the observations in X into ... performance using different confidence limits – TEP simulation 78 3 .9 MPCA performance using different confidence limits – industrial case 79 3.10 Parameter settings for MPCA using QT index ...
Ngày tải lên: 26/11/2015, 12:56
Neural network approach for sensor fault detection and accommodation
... (M.Blanke et al., 199 7) (Vemuri, 199 9) (J.C.Yang and D.W.Clarke, 199 7) (A.Berniert et al., 199 4) (Yu et al., 199 9) (Yong et al., 199 9), which provide an indication when something is wrong with ... optimal value for α, other training algorithms are investigated (Williams and J.Peng, 199 0)(Werbos, 199 0)(Pineda, 198 9)(D.T.Pham and X.Liu, 199 6)(Xuemei and Shumin, 2000) Among them,dynamic back ... using a learning rate of 0.1 for 4000 epoches Finally, the trained MLP is tested using a square input signal with a period of 296 09s, amplitude of and pulse width of 50% The result is shown in...
Ngày tải lên: 26/11/2015, 22:57
TOMAN’S TUBERCULOSIS CASE DETECTION, TREATMENT, AND MONITORING pdf
... community The rate of smear positivity in persons with respiratory symptoms in Peru was 18 .7% in 199 0, 14.3% in 199 1, 8.5% in 199 3, and 2 .7% in 199 9 Similarly, in Chile the smear positivity rate ... The training of key-organizers Bulletin of the International Union Against Tuberculosis, 1 97 0, 43:165–1 69 Nagpaul DR Tuberculosis control teams Indian Journal of Tuberculosis, 1 97 2, 19: 3–11 Holst ... Tuberculosis Institute, Bangalore, and the Tuberculosis Association of India, New Delhi, India Byword Editorial Consultants provided overall project coordination and editorial support In 1 97 9, the year in...
Ngày tải lên: 15/03/2014, 03:20
Security Monitoring: Proven Methods for Incident Detection on Enterprise Networks ppt
... Collection Monitor NIDS Monitor Oracle Logging Monitor Antivirus/HIDS Logging Conclusion 1 67 1 69 170 172 172 172 174 174 175 176 1 79 1 79 1 79 Conclusion: Keeping It Real ... publisher: O’Reilly Media, Inc 1005 Gravenstein Highway North Sebastopol, CA 95 472 800 -99 8 -99 38 (in the United States or Canada) 70 7-8 29- 0515 (international or local) 70 7-8 29- 0104 (fax) We have a ... Dependable Event Sources Conclusion 182 182 184 185 186 186 188 1 89 1 89 192 194 194 195 196 196 1 97 198 198 199 200 201 A Detailed OSU flow-tools Collector Setup ...
Ngày tải lên: 22/03/2014, 21:20
Báo cáo hóa học: " Research Article Adaptive Parameter Identification Based on Morlet Wavelet and Application in Gearbox Fault Feature Detection" pptx
... 0.014 6 .95 0.3 676 1 .99 5 0 .9 9. 0012 0.1812 5.15 0.012 6 .95 0.2688 2.010 1.0 −10.00 57 0. 171 8 4.86 0.012 6 .95 0.2851 1 .99 0 1.1 −10.8 1 97 0.1421 4 .99 0.015 0 .95 0.2802 2.000 1.2 −11.5463 0.1448 4 .99 0.016 ... 0.010 7. 00 0.6253 2.000 0.5 −4.1144 0.2883 5.01 0.008 3.00 0.5 378 2.000 0.6 −5.66 27 0.2356 5.10 0.012 4 .95 0.41 67 2.000 0 .7 7. 0026 0.2031 4 .93 0.015 7. 05 0.3846 1 .99 5 0.8 7. 8508 0.2010 4 .93 0.014 ... 0.2 695 2.000 Table 2: Success rate for detecting the cyclic period An SNR (dB) 0.1 10.0120 0.2 3 .90 53 0.3 0.60 09 0.4 −2.3101 0.5 −4.1144 0.6 −5.66 27 Success rate 100% 96 % 90 % 95 % 81% 92 % An 0.7...
Ngày tải lên: 21/06/2014, 08:20
Detection and resolution enhancement of laser induced fault localization techniques 1
... 158 1 59 160 161 161 162 166 166 168 1 69 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 7. 14 Fig 7. 15 Fig 7. 16 Fig 7. 17 Fig ... lock -in detection configuration Principle waveforms describing pulsed-DReM with double lock-n detection assuming T1 / DUT 1 69 171 172 173 173 174 175 1 79 180 181 182 182 183 185 193 194 xxii ... Imaging and TIVA Enhancement 174 7. 7 Combining RSIL and Pulsed Laser Induced Techniques for Effective Defect Localization on 65 nm Microprocessors 178 7. 7.1 Case Study : TIVA with RSIL 1 79 7. 7.2...
Ngày tải lên: 11/09/2015, 09:58