Low-Cost, High-Frequency, Data Acquisition System for Condition Monitoring of Rotating Machinery through Vibration...

Area of Science:

• Mechanical Engineering
• Vibration Analysis
• Condition Monitoring

Background:

• Data acquisition is critical for condition monitoring (CM) of rotating machinery using vibration analysis.
• High-cost and specialized equipment pose challenges in data acquisition for CM.
• Existing systems often have limitations in accuracy, resolution, sampling frequency, and channel count.

Purpose of the Study:

• To propose a cost-effective data acquisition system for rotating machinery condition monitoring.
• To develop a system utilizing Raspberry Pi with high sampling frequency capabilities.
• To demonstrate the system's effectiveness in analyzing bearing vibrations under different failure conditions.

Main Methods:

• Development of a low-cost data acquisition system based on Raspberry Pi.
• Implementation of high sampling frequency for up to three data channels.
• Case study involving vibration analysis of a bearing with four distinct failure degrees.

Main Results:

• The proposed Raspberry Pi-based system achieved high sampling frequencies for multi-channel data acquisition.
• Successful analysis of bearing vibrations was conducted using the developed system.
• The system demonstrated effectiveness in differentiating between various bearing failure levels.

Conclusions:

• The developed low-cost data acquisition system is a viable and effective solution for rotating machinery condition monitoring.
• Raspberry Pi serves as a capable platform for implementing advanced vibration analysis techniques.
• This approach offers a practical and economical alternative to expensive commercial data acquisition equipment.