potential to make a whole range of applications more
transparent and reliable.
 F. Civerchia, S. Bocchino, C. Salvadori, E. Rossi,
L. Maggiani, and M. Petracca, “Industrial Internet of
Things monitoring solution for advanced predictive
maintenance applications,” Journal of Industrial
Information Integration, vol. 7, pp. 4–12, 2017.
 J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami,
“Internet of Things (IoT): A vision, architectural
elements, and future directions,” Future Generation
Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
 S. A. Macskassy and F. Provost, “A Brief Survey
of Machine Learning Methods and their Sensor
and IoT Applications,” International Conference on
Information, Intelligence, Systems & Applications
(IISA), pp. 172–175, 2017.
 A. K. Jardine, D. Lin, and D. Banjevic, “A review
on machinery diagnostics and prognostics implementing
condition-based maintenance,” Mechanical Systems and
Signal Processing, vol. 20, no. 7, pp. 1483–1510, 2006.
 O. Uluyol, G. Parthasarathy, W. Foslien, and K. Kim,
“Power Curve Analytic for Wind Turbine Performance
Monitoring and Prognostics,” Annual Conference of
the Prognostics and Health Management Society,
no. August, pp. 1–8, 2011.
 V. J. Hodge, S. O. Keefe, M. Weeks, and A. Moulds,
“Wireless Sensor Networks for Condition Monitoring in
the Railway Industry: A Survey,” IEEE Transactions
on Intelligent Transportation Systems, vol. 16, no. 3,
pp. 1088–1106, 2015.
 B. Peeters, J. Maeck, and G. D. Roeck, “Vibration-based
damage detection in civil engineering: Excitation
sources and temperature effects,” Smart Materials and
Structures, vol. June, no. October 2014, 2001.
 P. Kassanos, S. Anastasova, and G.-Z. Yang, “Electrical
and Physical Sensors for Biomedical Implants,” in
Implantable Sensors and Systems: From Theory to
Practice (G.-Z. Yang, ed.), pp. 99–195, Cham: Springer
International Publishing, 2018.
 P. Kassanos, H. Ip, and G.-Z. Yang, “Ultra-Low Power
Application-Speciﬁc Integrated Circuits for Sensing,”
in Implantable Sensors and Systems: From Theory to
Practice (G.-Z. Yang, ed.), pp. 281–437, Cham: Springer
International Publishing, 2018.
 A. J. Thompson and G.-Z. Yang, “Tethered and
Implantable Optical Sensors,” in Implantable Sensors
and Systems: From Theory to Practice (G.-Z. Yang, ed.),
pp. 439–505, Cham: Springer International Publishing,
 L. v. Bertalanffy, “An Outline of General System
Theory,” The British Journal For Philisophy Of Science,
vol. 1, no. 2, pp. 134–165, 1950.
 P. Checkland, “Systems thinking,” in Rethinking
Management Information Systems, pp. 45–56, Oxford
University Press, 1999.
 B. Oshry, Seeing Systems: Unlocking the Mysteries of
Organizational Life. Berrett-Koehler Publishers, Inc.,
 S. Y. Auyang, “Foundations of Complex-system
Theories,” in Economics, Evolutionary Biology, and
Statistical Physics, pp. 1–404, 1999.
 F. C. Fang and A. Casadevall, “Reductionistic and
holistic science,” Infection and Immunity, vol. 79, no. 4,
pp. 1401–1404, 2011.
 M. C. Jackson, Systems Thinking: Creative Holism for
Managers. John Wiley & Sons Ltd., 2007.
 K. E. Boulding, “General Systems Theory - The
Skeleton of Sciene,” Management Science, vol. 2, no. 3,
pp. 197–208, 1956.
 R. L. Ackoff, Creating the Corporate Future: Plan or be
Planned For. New York: Wiley, 1981.
 Z. K. Peng and F. L. Chu, “Application of the
wavelet transform in machine condition monitoring
and fault diagnostics: A review with bibliography,”
Mechanical Systems and Signal Processing, vol. 18,
no. 2, pp. 199–221, 2004.
 E. P. Carden and P. Fanning, “Vibration Based Condition
Monitoring: A Review,” Structural Health Monitoring:
An International Journal, vol. 3, no. 4, pp. 355–377,
 W. Zhou, T. G. Habetler, and R. G. Harley, “Bearing
Condition Monitoring Methods for Electric Machines: A
General Review,” 2007 IEEE International Symposium
on Diagnostics for Electric Machines, Power Electronics
and Drives, pp. 3–6, 2007.
 S. Bagavathiappan, B. B. Lahiri, T. Saravanan,
J. Philip, and T. Jayakumar, “Infrared thermography for
condition monitoring - A review,” Infrared Physics and
Technology, vol. 60, pp. 35–55, 2013.
 D. A. Dornfeld and M. DeVries, “Neural Network
Sensor Fusion for Tool Condition Monitoring,” CIRP
Annals - Manufacturing Technology, vol. 39, no. 1,
pp. 101–105, 1990.
 M. S. H. Bhuiyan, I. A. Choudhury, M. Dahari,
Y. Nukman, and S. Z. Dawal, “Application of acoustic
emission sensor to investigate the frequency of tool wear
and plastic deformation in tool condition monitoring,”
Measurement: Journal of the International Measurement
Confederation, vol. 92, pp. 208–217, 2016.
 F. C. Trutt, J. Sottile, and J. L. Kohler, “Online condition
monitoring of induction motors,” IEEE Transactions on
Industry Applications, vol. 38, no. 6, pp. 1627–1632,
 S. Nandi, H. A. Toliyat, and X. Li, “Condition
monitoring and fault diagnosis of electrical motors -
A review,” IEEE Transactions on Energy Conversion,
vol. 20, no. 4, pp. 719–729, 2005.
 I. Alsyouf, “The role of maintenance in improving
companies’ productivity and proﬁtability,” International
Journal of Production Economics, vol. 105, no. 1,
pp. 70–78, 2007.
 K. Peffers, M. Rothenberger, T. Tuunanen, and R. Vaezi,
“Design Science Research Evaluation,” Design Science
Research in Information Systems. Advances in Theory
and Practice, pp. 398–410, 2012.
 S. Gregor and A. R. Hevner, “Positioning and Presenting
Design Science Research for Maximum Impact,” MIS
Quarterly, vol. 37, pp. 337–355, 12 2013.
 A. R. Hevner, S. T. March, J. Park, and S. Ram,
“Design Science in Information Systems Research,” MIS
Quarterly, vol. 28, no. 1, pp. 75–105, 2004.
 S. T. March and G. F. Smith, “Design and natural science
research on information technology,” Decision Support
Systems, vol. 15, no. 4, pp. 251–266, 1995.