Design improvement supporting method based on product performance analysis

References

• Aggarwal, C. C. 2013. Outlier Analysis. Heidelberg: Springer. doi:10.1007/978-3-319-47578-3.
   Google Scholar
• Anand, A., and M. Wani. 2010. “Product Life-cycle Modeling and Evaluation at the Conceptual Design Stage: A Digraph and Matrix Approach.” Journal of Mechanical Design 132 (9): 091010. doi:10.1115/1.4002241.
   Web of Science ®Google Scholar
• Anand, A., R. A. Khan, and M. F. Wani. 2016. “Development of a Sustainability Risk Assessment Index of a Mechanical System at Conceptual Design Stage.” Journal of Cleaner Production 139: 258–266. doi:10.1016/j.jclepro.2016.07.147.
   Web of Science ®Google Scholar
• Arabian-Hoseynabadi, H., H. Oraee, and P. Tavner. 2010. “Failure Modes and Effects Analysis (FMEA) for Wind Turbines.” International Journal of Electrical Power & Energy Systems 32 (7): 817–824. doi:10.1016/j.ijepes.2010.01.019.
   Web of Science ®Google Scholar
• Ashley, S. 1997. “Rapid-response Design.” Mechanical Engineering-CIME 119 (12): 72–75.
   Web of Science ®Google Scholar
• Azadfallah, M. 2018. “Reducing the Risk of Wrong Choice in Group Decision Making by Optimal Weight Allocating to Decision Makers.” International Journal of Risk and Contingency Management 7 (2): 1–23. doi:10.4018/IJRCM.2018040101.
   Google Scholar
• Barenji, R. V., A. V. Barenji, and M. Hashemipour. 2014. “A Multi-agent RFID-enabled Distributed Control System for A Flexible Manufacturing Shop.” The International Journal of Advanced Manufacturing Technology 71 (9–12): 1773–1791. doi:10.1007/s00170-013-5597-2.
   Web of Science ®Google Scholar
• Heaton, J. 2008. Introduction to Neural Networks with Java. Chesterfield: Heaton Research.
   Google Scholar
• Hinton, G. E., and R. S. Zemel 1993. “Autoencoders, Minimum Description Length and Helmholtz Free Energy.” Paper presented at the 6th International Conference on Neural Information Processing Systems (NIPS), San Francisco, CA, USA.
   Google Scholar
• Hopkins, J. L., and D. F. Kehoe. 2006. “The Theory and Development of a Relationship Matrix‐based Approach to Evaluating E‐marketplaces.” Electronic Markets 16 (3): 245-260. doi:10.1080/10196780600842090.
   Google Scholar
• Hu, X., H. Qiu, and N. Iyer 2007. “Multivariate Change Detection for Time Series Data in Aircraft Engine Fault Diagnostics.” Paper presented at the 2007 IEEE International Conference on Systems, Man and Cybernetics (SMC), Montréal, Quebec, Canada. doi: 10.1109/ICSMC.2007.4414131.
   Google Scholar
• Johnson, S. C. 1967. “Hierarchical Clustering Schemes.” Psychometrika 32 (3): 241–254. doi:10.1007/BF02289588.
   PubMed Web of Science ®Google Scholar
• Jun, H. B., J. H. Shin, Y. S. Kim, D. Kiritsis, and P. Xirouchakis. 2009. “A Framework for RFID Applications in Product Lifecycle Management.” International Journal of Computer Integrated Manufacturing 22 (7): 595–615. doi:10.1080/09511920701501753.
   Web of Science ®Google Scholar
• Kim, K., G. Parthasarathy, O. Uluyol, W. Foslien, S. Sheng, and P. Fleming 2011. “Use of SCADA Data for Failure Detection in Wind Turbines.” Paper presented at the ASME 2011 5th International Conference on Energy Sustainability, Washington, D.C., USA, August 7–10. doi:10.1115/ES2011-54243.
   Google Scholar
• Ma, H., X. Chu, D. Xue, and D. Chen. 2019. “Identification of To-be-improved Components for Redesign of Complex Products and Systems Based on Fuzzy QFD and FMEA.” Journal of Intelligent Manufacturing 30 (2): 623–639. doi:10.1007/s10845-016-1269-z.
   Web of Science ®Google Scholar
• Ma, H., X. Chu, G. Lyu, and D. Xue. 2017. “An Integrated Approach for Design Improvement Based on Analysis of Time-dependent Product Usage Data.” Journal of Mechanical Design 139 (11): 111401. doi:10.1115/1.4037246.
   Web of Science ®Google Scholar
• Pan, Y., J. Chen, and X. Li. 2009. “Bearing Performance Degradation Assessment Based on Lifting Wavelet Packet Decomposition and Fuzzy C-means.” Mechanical Systems and Signal Processing 24 (2): 559–566. doi:10.1016/j.ymssp.2009.07.012.
   Web of Science ®Google Scholar
• Rabatel, J., S. Bringay, and P. Poncelet. 2011. “Anomaly Detection in Monitoring Sensor Data for Preventive Maintenance.” Expert Systems with Applications 38 (6): 7003–7015. doi:10.1016/j.eswa.2010.12.014.
   Web of Science ®Google Scholar
• Rai, A., and S. Upadhyay. 2017. “Bearing Performance Degradation Assessment Based on a Combination of Empirical Mode Decomposition and K-medoids Clustering.” Mechanical Systems and Signal Processing 93: 16–29. doi:10.1016/j.ymssp.2017.02.003.
   Web of Science ®Google Scholar
• Rumelhart, D. E., G. E. Hinton, and R. J. Williams. 1986. “Learning Representations by Back-propagating Errors.” Nature 323 (6088): 533–536. doi:10.1038/323533a0.
   Web of Science ®Google Scholar
• Shin, J. H., D. Kiritsis, and P. Xirouchakis. 2015. “Design Modification Supporting Method Based on Product Usage Data in Closed-loop PLM.” International Journal of Computer Integrated Manufacturing 28 (6): 551–568. doi:10.1080/0951192X.2014.900866.
   Web of Science ®Google Scholar
• Siegel, D., and J. Lee. 2011. “An Auto-associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment.” International Journal of Prognostics and Health Management 2: 1–12.
   Google Scholar
• Srivastava, R. K., K. Greff, and J. Schmidhuber 2015. “Training Very Deep Networks.” Paper presented at the 29th International Conference on Neural Information Processing System (NIPS), Montréal, Quebec, Canada.
   Google Scholar
• Tian, Z., T. Jin, B. Wu, and F. Ding. 2011. “Condition Based Maintenance Optimization for Wind Power Generation Systems under Continuous Monitoring.” Renewable Energy 36 (5): 1502–1509. doi:10.1016/j.renene.2010.10.028.
   Web of Science ®Google Scholar
• Vichare, N., P. Rodgers, V. Eveloy, and M. Pecht. 2007. “Environment and Usage Monitoringof Electronic Products for Health Assessment and Product Design.” Quality Technology & Quantitative Management 4 (2): 235–250. doi:10.1080/16843703.2007.11673148.
   Google Scholar
• Zammori, F., and R. Gabbrielli. 2012. “ANP/RPN: A Multi Criteria Evaluation of the Risk Priority Number.” Quality and Reliability Engineering International 28 (1): 85–104. doi:10.1002/qre.1217.
   Web of Science ®Google Scholar
• Zhang, Y., S. Ren, Y. Liu, and S. Si. 2017. “A Big Data Analytics Architecture for Cleaner Manufacturing and Maintenance Processes of Complex Products.” Journal of Cleaner Production 142: 626–641. doi:10.1016/j.jclepro.2016.07.123.
   Web of Science ®Google Scholar
• Zhang, Z., and X. Chu. 2010. “A New Approach for Conceptual Design of Product and Maintenance.” International Journal of Computer Integrated Manufacturing 23 (7): 603–618. doi:10.1080/09511921003736766.
   Web of Science ®Google Scholar