Sensor Data Abstraction for Failure Prediction of Polymerase Chain Reaction Thermal Cyclers
In this paper, the heating and cooling rates of polymerase chain reaction thermal cyclers was analysed over time, to predict their aging. Two kinds of methods were applied to calculate the rise times of the heating and cooling protocol sections, which were inversely related to the heating or cooling rates. The temporal changes of the rise times were investigated over several months. For three thermal cyclers with different structures, the increases of the rise times were fairly linear; therefore, the aging prediction is feasible.
D. D. Reitze, “Using cloud computing to enhance automatic test equipment testing and maintenance capabilities,” 2013 IEEE AUTOTESTCON, IEEE Press, October 2013, pp. 1-6.
D. Galar, A. Thaduri, M. Catelani, and L. Ciani, “Context awareness for maintenance decision making: A diagnosis and prognosis approach,” Measurement, vol. 67, pp. 137-150, 2015.
W. Wang, “An overview of the recent advances in delay-time-based maintenance modelling,” Reliability Engineering & System Safety, vol. 106, pp. 165-178, May 2012.
X. Jin, Y. Sun, Z. Que, Y. Wang, and T. W. Chow, “Anomaly detection and fault prognosis for bearings,” IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 9, pp. 2046-2054, September 2016.
S. O. Guclu, E. U. Warriach, T. Ozcelebi, and J. J. Lukkien, “Improving failure prediction accuracy in smart environments,” 2016 IEEE International Conf. Consumer Electronics, IEEE Press, March 2016, pp. 317-318.
V. H. Coria, S. Maximov, F. Rivas-Dávalos, C. L. Melchor, and J. L. Guardado, “Analytical method for optimization of maintenance policy based on available system failure data,” Reliability Engineering & System Safety, vol. 135, pp. 55-63, March 2015.
D. Kwon, M. R. Hodkiewicz, J. Fan, T. Shibutani, and M. G. Pecht, “IoT-based prognostics and systems health management for industrial applications,” IEEE Access, vol. 4, pp. 3659-3670, 2016.
A. Kankanhalli, J. Hahn, S. Tan, and G. Gao, “Big data and analytics in healthcare: introduction to the special section,” Information Systems Frontiers, vol. 18, no. 2, pp. 233-235, April 2016.
P. Singleton, DNA methods in clinical microbiology, New York: Springer Science & Business Media, 2013.
Y. H. Kim, I. Yang, Y. S. Bae, and S. R. Park, “Performance evaluation of thermal cyclers for PCR in a rapid cycling condition,” Biotechniques, vol. 44, no. 4, pp. 495-496, 498, 500, and passim, April 2008.
G. C. Saunders, J. Dukes, H. C. Parkes, and J. H. Cornett, “Interlaboratory study on thermal cycler performance in controlled PCR and random amplified polymorphic DNA analyses,” Clinical Chemistry, vol. 47, no. 1, pp. 47-55, January 2001.
M. T. Barako, W. Park, A. M. Marconnet, M. Asheghi, and K. E. Goodson, “Thermal cycling, mechanical degradation, and the effective figure of merit of a thermoelectric module,” Journal of Electronic Materials, vol. 42, no. 3, pp. 372-381, March 2013.
E. Hatzikraniotis, K. T. Zorbas, I. Samaras, T. H. Kyratsi, and K. M. Paraskevopoulos, “Efficiency study of a commercial thermoelectric power generator (TEG) under thermal cycling,” Journal of Electronic Materials, vol. 39, no. 9, pp. 2112-2116, September 2010.
H. C. R. L. Tenorio, D. A. Vieira, C. P. de Souza, E. C. T. de Macêdo, and R. C. S. Freire, “A thermoelectric module thermal-cycling testing platform with automated measurement capabilities,” IEEE International 2016 of the Instrumentation and Measurement Technology Conference Proceedings (I2MTC), IEEE Press, 2016.
W. C. Elmore, “The transient response of damped linear networks with particular regard to wideband amplifiers,” Journal of Applied Physics, vol. 19, no. 55, pp. 55-63, 1948.
C. Y. Park, J. D. Kim, Y. S. Kim, H. J. Song, J. M. Kim, and J. Kim, “Cost reduction of PCR thermal cycler,” International Journal of Multimedia and Ubiquitous Engineering, vol. 7, no. 2, pp. 389-39, 2012.
C. Y. Park, Y. H. Park, Y. S. Kim, H. J. Song, and J. D. Kim, “Performance evaluation of cost-optimized thermal cycler,” Technology and Health Care, vol. 24, no. s1, pp. S179-S185, 2015.
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