{"title":"Development of a Real Time Axial Force Measurement System and IoT-Based Monitoring for Smart Bearing","authors":"Hassam Ahmed, Yuanzhi Liu, Yassine Selami, Wei Tao, Hui Zhao","volume":154,"journal":"International Journal of Materials and Metallurgical Engineering","pagesStart":485,"pagesEnd":491,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10010835","abstract":"
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.<\/p>\r\n","references":"[1]\tH. Martin, F. Honarvar, \u201cApplication of statistical moments to bearing failure detection,\u201d Appl. Acoustics 44 (1), 1995, pp. 67\u201377.\r\n[2]\tR.K. Upadhyay, L.A. Kumaraswamidhas, M.S. Azam, \u201cRolling element bearing failure analysis: a case study,\u201d in Case Studies Engineering Failure Analysis vol 1 issue 1, 2013, pp. 15\u201317.\r\n[3]\tV. Nistane, S. Harsha, \u201cFailure evaluation of ball bearing for prognostics,\u201d Proc. Technol. 23, 2016, pp.179\u2013186 \r\n[4]\tY. K. Chaudhari, J. A. Gaikwad, and J. V. Kulkarni, \u201cVibration analysis for bearing fault detection in electrical motors,\u201d in Networks & Soft Computing (ICNSC), 2014 First International Conference on. IEEE, 2014, pp. 146\u2013150.\r\n[5]\tMao Kunli and Wu Yunxin, \u201cFault Diagnosis of Rolling Element Bearing Based on Vibration Frequency Analysis,\u201d in Third International Conference on Measuring Technology and Mechatronics Automation, 2011, pp. 198 -201.\r\n[6]\tJie Bian, Ping Wang, Qing Mei, and Mozhi Lei, \u201cFault Detection of Rolling Bearings through Vibration Analysis via the hybrid CEEMD-EMD Approach,\u201d in Prognostics and System Health Management Conference. 2014, pp. 245-250.\r\n[7]\tA. 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.\r\n[8]\tS. Scott, F. Sadeghi, and D. Peroulis, \u201cAn inherently-robust 300 \u00b0C MEMS temperature sensor for wireless health monitoring of ball and rolling element bearings,\u201d in Proc. IEEE Sensors, 2009, pp. 975\u2013978.\r\n[9]\tThitipan, Noreesuwan and Bandit Suksawat, \u201cPropose of Unsealed Deep Groove Ball Bearing Condition Monitoring Using Sound Analysis and Fuzzy Logic,\u201d in Proc. of International Conference on Control, Automation and Systems 2010 (ICCAS2010),2010, pp.409-413.\r\n[10]\tA. Shahidi, L. A. Gupta, A. Kovacs, and D. Peroulis, \u201cWireless temperature and vibration sensor for real-time bearing condition monitoring,\u201d in Proc. IEEE MTT-S Int. Microw. Symp. Dig. (IMS), Seattle, WA, USA, Jun. 2013, pp. 1\u20134\r\n[11]\tPermana, E and Yayat, \u201cDesign and Development of Impact Load Sensor for Dynamic Testing Purposes,\u201d in IOP Conference Series: Materials Science and Engineering, 2018, 288. 012060. 10.1088\/1757-899X\/288\/1\/012060.\r\n[12]\tKyowa Electronic Instruments Co. Ltd., 2016 Introduction to Strain Gauges\r\n[13]\tSchulz, 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.\r\n[14]\tAlan S M 1993 Principles of Measurement and Instrumentation Prentice Hall, London.\r\n[15]\tAlan S M 1993 Principles of Measurement and Instrumentation Prentice Hall, London\r\n[16]\tR. 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\r\n[17]\tA. Cotta and N. T. Devidas, \u201cWireless Communication Using Hc-05 Bluetooth Module Interfaced with Arduino,\u201d in International Journal of Science, Engineering and Technology Research (IJSETR), 2016, pp. 869 -872\r\n[18]\tV. 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\r\n[19]\t\u201cADS1256 24-Bit, 30kSPS, 8-Ch Delta-Sigma ADC with PGA for Factory Automation and Process Control.\u201d (Online). Available: http:\/\/www.ti.com\/product\/ADS1256\r\n[20]\tTutak Piotr, \u201cApplication Of Strain Gauges In Measurements Of Strain Distribution In Complex Objects,\u201d in Journal of Applied Computer Science Methods, 2014, pp. 135-145","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 154, 2019"}