ESTABLISHMENT OF DIAGNOSING FAULTS AND MONITORING SYSTEM WITH NEURAL NETWORKS IN AIR CONDITIONING SYSTEMS

Yıl 2017, Cilt: 2 Sayı: 1, 21 - 27, 15.06.2017

Hüseyin Yüce

Öz

Despite the fact that the world has different climate regions, humankind finds a living environment in a certain temperature, humidity range and clean weather conditions suitable for him. This living environment is defined as “Comfort Zone”. Today, people spend most of their daily lives in closed environments. The use of air conditioners is becoming increasingly widespread in order to create a comfortable environment in the living areas, especially shopping centers. In this study; a malfunction in an air condition was detected and the malfunction information was taken and sent to a remote server database via mobile internet infrastructure. The data on the server was processed with artificial intelligence and a mobile application was developed. Again, with an Android device with network access, it was aimed to retrieve the data from the database and forward it to the technical service personnel. An electronic card is designed for the retrieval of the fault data.

Anahtar Kelimeler

Fault detection and diagnosis, neural networks, mobile programing

Kaynakça

• A. Holley. (12.06.2017). Air conditioning trends and forecast. Available: https://www.slideshare.net/BSRIA/air-conditioning-trends-andforecast-anette-meyer-holley-john-updatesv2-edited
• F. ÖZEL and M. Z. HANÇER, "Hastanelerde îklimlendirme Sistemleri," Tesisat Mühendisliği Dergisi, vol. 89, pp. 27-42, 2005.
• C. a. E. Engineering. (12.06.2017). Achieving the Right Temperature: Diagnosing Faults and Monitoring Efficiency of HVAC Systems. Available:https://www.cmu.edu/cee/news/news-archive/2016/2016achieving-the-right-temperature-diagnosing-faults-and-monitoringefficiency-of-hvac-systems.html
• V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. N. Kavuri, "A review of process fault detection and diagnosis," Computers & Chemical Engineering, vol. 27, no. 3, pp. 293-311, 2003/03/15/ 2003.
• S. Katipamula and M. Brambley, "Review Article: Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I," HVAC&R Research, vol. 11, no. 1, pp. 3-25, 2005.
• Y. Yu, D. Woradechjumroen, and D. Yu, "A review of fault detection and diagnosis methodologies on air-handling units," Energy and Buildings, vol. 82, pp. 550-562, 2014.
• B. Yu, D. H. C. Van Paassen, and S. Riahy, "General modeling for model-based FDD on building HVAC system," Simulation Practice and Theory, vol. 9, no. 6, pp. 387-397, 2002/05/15/ 2002.
• S. Wang and Y. Chen, "Fault-tolerant control for outdoor ventilation air flow rate in buildings based on neural network," Building and Environment, vol. 37, no. 7, pp. 691-704, 2002/07/01/ 2002.
• Microchip, "dsPIC33EPXXX(GP/MC/MU)806/810/814 - 16-Bit Microcontrollers and Digital Signal Controllers with High-Speed PWM, USB and Advanced Analog," vol. Data Sheets, ed: Microchip, 10/17/2012, p. 24. [10] G. Leonov and S. Seledzhi, "Design of phase-locked loops for digital signal processors," International Journal of Innovative Computing, Information Control, vol. 1, no. 4, pp. 779-789, 2005.
• G. Leonov, N. Kuznetsov, and S. Seledzhi, "Nonlinear analysis and design of phase-locked loops," in Automation Control-Theory and Practice: InTech, 2009.
• Hi-Link. (2016, 12.0.2017). low-cost embedded UART-ETH-WIFI (Serial - Ethernet - Wireless network) module. Available: http://www.hlktech.com/upfile/2016/07/17/20160717214110_760 .pdf
• Z. M. Kalarthi, "A review paper on smart health care system using Internet of Things," International Journal of Research in Engineering and Technology (IJRET), vol. 5, pp. 80-3, 2016.
• P. S. N. Reddy, K. T. K. Reddy, P. A. K. Reddy, G. K. Ramaiah, and S. N. Kishor, "An IoT based home automation using android application," in Signal Processing, Communication, Power and Embedded System (SCOPES), 2016 International Conference on, 2016, pp. 285-290: IEEE.
• S. Şerbetli, "Fotovoltaik Panellerde Güç Üretiminin Gerçek Zamanlı Olarak İzlenmesi Ve Verilerin Saklanması," Master, Fen Bilimleri Enstitüsü / Elektrik Eğitimi Anabilim Dalı, Marmara Üniversitesi, 2016.
• J. Shah and B. Mishra, "Customized IoT enabled Wireless Sensing and Monitoring Platform for preservation of artwork in heritage buildings," in 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016, pp. 361-366.
• J. H. Park, J. Chung, and S. Y. Chae, "Design of IoT information System," 2016.
• J. F. DiMarzio, Beginning Android Programming with Android Studio. John Wiley & Sons, 2016.
• J. DiMarzio, "Setting Up Android Studio," in Android Studio Game Development: Springer, 2015, pp. 1-8.
• O. A. Ibrahim and K. J. Mohsen, "Design and implementation an online location based services using Google maps for android mobile," International Journal of Computer Networks and Communications Security (CNCS), vol. 2, no. 3, pp. 113-118, 2014.
• S. Kumari, M. Yadav, and S. R. Kumari, "Database Connection Technology," International Journal, vol. 8, no. 5, 2017.
• J. Ding, W. Song, and D. Zhang, "An Approach for Modeling and Analyzing Mobile Push Notification Services," in Services Computing (SCC), 2014 IEEE International Conference on, 2014, pp. 725-732: IEEE.
• I. Warren, A. Meads, S. Srirama, T. Weerasinghe, and C. Paniagua, "Push notification mechanisms for pervasive smartphone applications," IEEE Pervasive Computing, vol. 13, no. 2, pp. 61-71, 2014.
• M. Ahmadi, B. Biggio, S. Arzt, D. Ariu, and G. Giacinto, "Detecting Misuse of Google Cloud Messaging in Android Badware," in Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices, 2016, pp. 103-112: ACM.
• Google. (12.05.2017, 12.06.2016). Firebase Cloud Messaging. Available: https://firebase.google.com/docs/cloud-messaging/
• J. J. Hopfield, "Artificial neural networks," IEEE Circuits and Devices Magazine, vol. 4, no. 5, pp. 3-10, 1988.
• J. E. Dayhoff and J. M. DeLeo, "Artificial neural networks," Cancer, vol. 91, no. S8, pp. 1615-1635, 2001.
• B. Yegnanarayana, Artificial neural networks. PHI Learning Pvt. Ltd., 2009. [29] A. Cochocki and R. Unbehauen, Neural networks for optimization and signal processing. John Wiley & Sons, Inc., 1993. [30] J. Hines, L. H. Tsoukalas, and R. E. Uhrig, MATLAB supplement to fuzzy and neural approaches in engineering. John Wiley & Sons, Inc., 1997.