Research and development of low-cost vibration monitoring system with Internet of Things (IoT)

Nik Ebrhiam, Nik Muhammad Faris (2022) Research and development of low-cost vibration monitoring system with Internet of Things (IoT). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Research and development of low-cost vibration monitoring system with Internet of Things (IoT).pdf - Submitted Version Download (348kB)
	Text (Full text) Research and development of low-cost vibration monitoring system with Internet of Things (IoT).pdf - Submitted Version Restricted to Registered users only Download (3MB)

Abstract

Vibration analysis in industry is a technique for detecting, predicting, and preventing mechanical failures. The presence of a number of prominent frequencies associated with the motion of various machine components is to be expected when analysing machine frequency vibrations (frequency analysis). Mechanics systems and structures can be damaged, stopped abnormally, or fail catastrophically if they are exposed to high levels of vibrations. To avoid these issues, vibration assessment is an essential countermeasure. A vibration monitoring system is a full system capable of gathering vibration signals according to pre-determined parameters, such as sampling frequency, vibration intensity and recording duration and intervals and frequency breadth. The method that using is component selection for the first step. Then circuit build up to program the microcontroller with coding make. Then setting the OBD interfaces such as blynk application. Then train the data and evaluate data for the project prototype with aid of coding software for microcontroller and sensors. Then, intergrate the system setting toward online monitoring applications to run and get the actual result and data. From this results it can be analysis from the data runing for system test. The main system using in this project are 5 components that is, Hibiscus Sense v1.0 ESP32, Ultrasonic Sensor HC-SR04, MPU6050 Vibration Sensor, Supply voltage and software platform monitoring system. There are 3 system have been created. The single vibration system is using only Hibiscus Sense v1.0 ESP32. This system stand alone to measure and carry out the acceleration 3 axis by MPU6050 inside the ESP32 microcontrollers and the temperature when vibrations occurs during system test. The single vibration with Ultrasonic sensor system includes Hibiscus sense ESP32 with Ultrasonic sensor. This system is to carry out the acceleration of 3 axis with temperature and distance. This double vibration system is to known the sustainability of both 3 axis accelerometer and to make comparison the diffenrence value of this vibration system. This system also can compare the temperature for ESP32 and MPU6050 sensor. The result was taken by using the Blynk applications with supporting guidance of coding motion detection to detection of vibration in several minutes to get the result shown in below figure. the interpreted data show of accelerometer gyroscope with aid of x, y, z axis of both ESP32 or MPU6050 sensor This data show to measure the sensitivity of vibration temperature and distance of some objects. It can be explained how IoT can help the condition monitoring and fault diagnosis of rotating machinery using vibration analysis. Further, vibration sensing has been investigated and the new generation of MEMS accelerometers has been introduced. This way the machine will be able to send its vibration status to the server and the maintenance engineers will be able to monitor it anytime, anywhere. The developed hardware has been evaluated by comparing the results of online and local data measurements at the same time. The results of the evaluation have been proved to be very precise. This paper will prove the concept of using IoT enabled sensors in predictive maintenance to overcome some gaps in the commonly used methods of condition monitoring of rotating machinery. The results can be extended to a larger scope of equipment, faults, and parameters.

Actions (login required)

View Item