外文翻译--制造分析进程数据使用快速标记技术

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1、附录 1 翻译原文及译文 Doc No: P0193-GP-01-1 Doc Name: Analysis of Manufacturing Process Data Using QUICK TechnologyTM Issue： 1 Data： 20 April ， 2006 Name(Print) Signature Author： D.Clifton Reviewer： S.Turner Table of Contents 1 Executive Summary . 4 1.1 Introdution . 4 1.2 Techniques Employed . 4 1.3 Summary

2、 of Results . 4 1.4 Observations . 5 2 Introdution . 6 2.1 Oxford BioSignals Limited . 6 3 External References . 7 4 Glossary . 7 5 Data Description . 7 5.1 Data types . 7 5.2 Prior Experiment Knowledge . 7 5.3 Test Description . 8 6 Pre-processing . 9 6.1 Removal of Start/Stop Transients . 9 6.2 Re

3、moval of Power Supply Signal . 9 6.3 Frequency Transformation . 9 7 Analysis I-Visualisation . 12 7.1 Visualisation of High-Dimensional Data . 12 7.2 Visualising 5-D Manufacturing Process Data . 错误！未定义书签。 7.3 Automatic Novelty Detection . 错误！未定义书签。 7.4 Conclusion of Analysis I-Visualisation . 错误！未定义

4、书签。 8 Analysis II-Signature Analysis . 错误！未定义书签。 8.1 Constructing Signatures . 错误！未定义书签。 8.2 Visualising Signatures. 错误！未定义书签。 8.3 Conclusion of Analysis II-Signature Analysis . 错误！未定义 书签。 9 Analysis III-Template Analysis . 错误！未定义书签。 9.1 Constructing a Template of Normality. 错误！未定义书签。 9.2 Results of

5、 Novelty Detection Using Template Analysis . 错误！未定义书签。 9.3 Conclusion of Analysis III-Template Analysis . 错误！未定义书签。 10 Analysis IV-None-linear Prediction . 错误！未定义书签。 10.1 Neural Networks for On-Line Prediction . 错误！未定义书签。 10.2 Results of Novelty Detection using Non-linear Prediction . 错误！未定义书签。 10.3

6、 Conclusion of Analysis IV-Non-linear Prediction . 错误！未定义书签。 11 Overall Conclusion . 错误！未定义书签。 11.1 Methodology . 错误！未定义书签。 11.2 Summary of Tesults . 错误！未定义书签。 11.3 Future Work . 错误！未定义书签。 12 Appendix A-NeuroScale Visualisations . 错误！未定义书签。 Table of Figures Figure 1- Test 90. From top to bottom: Ax,

7、 Ay, Az, AE, SP against time t(s) Figure 2- Power spectra for Test 19 after removal of 50Hz power supply contribution. The top plot shows a 3-D “landspace” plot of each spectrum. The bottom plot shows a “contour” plot of the same information, with increasing signal power shown as increasing colour f

8、rom black to red Figure 3- Power spectra for Test 19 after removal of all spectral components beneath power threshold Figure 4- Az against time (in seconds) for Test 19,before removal of low-power frequency components Figure 5- Az against time (in seconds) for Test 19, after removal of low-power fre

9、quency components Figure 6- SP for an example test, showing three automatically-detecrmined states:S1-drilling in (shown in green)； S2-drill-bit break-through and removal (shown in red)； S3-retraction (shown in blue) Figure 7- Example signature of variable y plotted against operating-point Figure 8-

10、 Power spectra for test 51, frequency (Hz) on the x-axis between 0 fs/2 Figure 9- Average significant frequency fu Figure 10- Visualisation of AE signatures for all tests Figure 11- Visualisation of Ax broadband signatures for all tests Figure 12- Visualisation of Ax average-frequency signatures for all tests Figure 13- Novelty detection using a template signature Figure 14-