International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
IOT Based Machine Health Monitoring System Asavari Anil Kulkarni1, Prajkta Santoshrao Muneshwar2, Nikhita Maruti Parit3, Pallavi Bhimrao Mistry4, Dnyanesh Amar Tarlekar5, Prof. Vaibhav B Magdum6 12345Student, B.Tech. Electrical Engineering,
6Assistant Professor, Dept. of Electrical Engineering, DKTE Society’s Textile and Engineering Institute, Ichalkaranji,
Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------sending message to the operator for knowing the condition Abstract - Machine health monitoring in today’s complex of machine.
plant systems has gained more prominence than ever before because of steep increase in machinery costs, plant investments and maintenance expenses. A breakdown in any one machine or a component in a plant could mean huge losses coupled with safety and environmental threats as in the case industrial and commercial plants. The advances in manufacturing technology and the competition in the market necessitate the continuous availability of machinery for production. This has created a need for integrating maintenance with other manufacturing activities for better plant availability and efficiency. The objective of present research work is to present one such Machine health monitoring (MHM) system developed using knowledge-based systems. The proposed model can be a useful maintenance tool in majority of small and medium scale manufacturing plants. A comprehensive knowledge-based system (KBS) could be developed over a period of time for industrial machinery which can monitor the major machinery faults and provide expert maintenance solutions through measurement and analysis of machine parameters such as power, vibration, noise, temperature, wear debris, lubricant condition, etc. A fault diagnosis system with KBS is based on computer programs interlinking fault symptoms, faults and remedies.
1.1 Problem Statement and Remedies The machine health monitoring system is based on a real time morning application therefore, we have visited a smallscale industry named as ‘Kambale Textiles’. There are 40 motors installed in industry for 40 loom machines. If anyone motor gets affected by a minor fault, then whole system depending on that motor will stop operating. Loss due to one machine shut down can cause loss of Rs 70/- then approximated loss of 40 loom machines for 1Hr will be cause loss of Rs 2800 Rs. This loss happens because of the minor faults in motor like voltage spick and also during operation mechanical faults in machines produce unique vibrations which depend upon the geometry of the machine elements such as shaft, spindle etc., and shaft rotation speed which is main cause to damages the motor. Minor faults which will if not corrected at that instant then they will cause a big damage to machine. Hence, we worked on project and get the solutions: 1)For bearing problem we are using proximity sensor that will sense minor change in distance of bearing which will if ignored then it leads to blocking of shaft hence it avoids using this sensor
Key Words: Industrial 3 phase load, Speed, Wear debris, Lubrication, Temperature, Vibration etc.
1. INTRODUCTION
2)If single phasing occurs then the motor will get shut down to avoid further damage.
The machine health monitoring system is used to measure various parameters of 3 phase machines like 1) over voltage and under voltage 2) over current and under current 3) over temperature 4) over speed by using Arduino and IOT technology. The proposed system uses sensors like temperature sensor and inductive type proximity sensor. These sensors mainly involve monitoring of temperature and speed. We divide project in 3 units like indicating unit, sensing unit and controlling unit.in indicating unit we show the electrical parameters like voltage and current per phase. In sensing unit, the standard rating of various devices is set and when the electrical quantity is increased or decreased according to that Parameter this relay will turn off the system in abnormal condition. In Controlling unit when the electrical parameters are same as set value then machine turns on automatically. We use IOT based GSM for the
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3)By balancing voltage and current starting torque will not get affected. 1.2 Objective and Scope of Project The objective of present research work is to present one such machine health monitoring (MHM) system developed using knowledge-based systems. The proposed model can be a useful maintenance tool in majority of small and medium scale manufacturing plant. Machine health data takes the guesswork out of which machines in our line we need to optimize, and predictive insights allow us to implement changes in production to
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