Development of a Real Time Axial Force Measurement System and IoT-Based Monitoring for Smart Bearing
The purpose of this research is to develop a real time axial force measurement system for a smart bearing through the use of strain-gauges, whereby the data acquisition is performed by an Arduino microcontroller due to its easy manipulation and low-cost. The measured signal is acquired and then discretized using a Wheatstone Bridge and an Analog-Digital Converter (ADC) respectively. For bearing monitoring, a real time monitoring system based on Internet of things (IoT) and Bluetooth were developed. Experimental tests were performed on a bearing within a force range up to 600 kN. The experimental results show that there is a proportional linear relationship between the applied force and the output voltage, and the error R squared is within 0.9878 based on the regression analysis.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3566337Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 224
 H. Martin, F. Honarvar, “Application of statistical moments to bearing failure detection,” Appl. Acoustics 44 (1), 1995, pp. 67–77.
 R.K. Upadhyay, L.A. Kumaraswamidhas, M.S. Azam, “Rolling element bearing failure analysis: a case study,” in Case Studies Engineering Failure Analysis vol 1 issue 1, 2013, pp. 15–17.
 V. Nistane, S. Harsha, “Failure evaluation of ball bearing for prognostics,” Proc. Technol. 23, 2016, pp.179–186
 Y. K. Chaudhari, J. A. Gaikwad, and J. V. Kulkarni, “Vibration analysis for bearing fault detection in electrical motors,” in Networks & Soft Computing (ICNSC), 2014 First International Conference on. IEEE, 2014, pp. 146–150.
 Mao Kunli and Wu Yunxin, “Fault Diagnosis of Rolling Element Bearing Based on Vibration Frequency Analysis,” in Third International Conference on Measuring Technology and Mechatronics Automation, 2011, pp. 198 -201.
 Jie Bian, Ping Wang, Qing Mei, and Mozhi Lei, “Fault Detection of Rolling Bearings through Vibration Analysis via the hybrid CEEMD-EMD Approach,” in Prognostics and System Health Management Conference. 2014, pp. 245-250.
 A. Boudiaf: S. Bouhouche, A. K. Moussaoui, and T. Smnira, "An effective method for bearing faults diagnosis," in Control, Engineering and Information Technology (CElT) IEEE, 2015, pp. 1-6.
 S. Scott, F. Sadeghi, and D. Peroulis, “An inherently-robust 300 °C MEMS temperature sensor for wireless health monitoring of ball and rolling element bearings,” in Proc. IEEE Sensors, 2009, pp. 975–978.
 Thitipan, Noreesuwan and Bandit Suksawat, “Propose of Unsealed Deep Groove Ball Bearing Condition Monitoring Using Sound Analysis and Fuzzy Logic,” in Proc. of International Conference on Control, Automation and Systems 2010 (ICCAS2010),2010, pp.409-413.
 A. Shahidi, L. A. Gupta, A. Kovacs, and D. Peroulis, “Wireless temperature and vibration sensor for real-time bearing condition monitoring,” in Proc. IEEE MTT-S Int. Microw. Symp. Dig. (IMS), Seattle, WA, USA, Jun. 2013, pp. 1–4
 Permana, E and Yayat, “Design and Development of Impact Load Sensor for Dynamic Testing Purposes,” in IOP Conference Series: Materials Science and Engineering, 2018, 288. 012060. 10.1088/1757-899X/288/1/012060.
 Kyowa Electronic Instruments Co. Ltd., 2016 Introduction to Strain Gauges
 Schulz, M., Song, Y., Hehr, A. and Shanov, V., "Embedded carbon nanotube thread piezoresistive strain sensor performance", Sensor Review, Vol. 34 No. 2, 2014, pp. 209-219.
 Alan S M 1993 Principles of Measurement and Instrumentation Prentice Hall, London.
 Alan S M 1993 Principles of Measurement and Instrumentation Prentice Hall, London
 R. S. Rosli, M. H. Habaebi and M. R. Islam, "Characteristic Analysis of Received Signal Strength Indicator from ESP8266 WiFi Transceiver Module," in 2018 7th International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, 2018, pp. 504-507
 A. Cotta and N. T. Devidas, “Wireless Communication Using Hc-05 Bluetooth Module Interfaced with Arduino,” in International Journal of Science, Engineering and Technology Research (IJSETR), 2016, pp. 869 -872
 V. Oza and P. Mehta, "Arduino Robotic Hand: Survey Paper," in 2018 International Conference on Smart City and Emerging Technology (ICSCET), Mumbai, 2018, pp. 1-5
 “ADS1256 24-Bit, 30kSPS, 8-Ch Delta-Sigma ADC with PGA for Factory Automation and Process Control.” (Online). Available: http://www.ti.com/product/ADS1256
 Tutak Piotr, “Application Of Strain Gauges In Measurements Of Strain Distribution In Complex Objects,” in Journal of Applied Computer Science Methods, 2014, pp. 135-145