An analysis of vibration sensor for conveyor system using IoT technology

Kamarudin, Ahmad Faisal (2025) An analysis of vibration sensor for conveyor system using IoT technology. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Industrial operations depend heavily on a conveyor system because it makes material handling processes easier. Manufacturing facilities depend on different conveyor systems like belt and chain together with roller types. Taking care of these systems properly helps us prevent unplanned equipment failures. Many companies have poor maintenance tracking tools and only limited sensor testing work has been done across different vibration ranges. Our research creates a predictive maintenance conveyor system that stops operations right away when unusual vibrations are detected to avoid big system failures. The project studies how well MPU6050, ADXL335, and ADXL345 vibration sensors detect different vibration frequencies produced by a motor vibrator when measuring stability and reliability. Real-time control works through IoT technology which connects to phone applications to show system updates. The MPU6050 sensor shows superior results in measuring vibration accurately which makes it suitable for predictive maintenance in conveyor systems. Our research helps conveyor systems operate better and safer while making industrial maintenance more intelligent.

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