Next Article in Journal
A Comparative Study between Regression and Neural Networks for Modeling Al6082-T6 Alloy Drilling
Previous Article in Journal
Influence of Ball-Burnishing Process on Surface Topography Parameters and Tribological Properties of Hardened Steel
Previous Article in Special Issue
Integrated Fault Detection Framework for Classifying Rotating Machine Faults Using Frequency Domain Data Fusion and Artificial Neural Networks
Open AccessArticle

Development of a Low-Cost Vibration Measurement System for Industrial Applications

Laboratory of Industrial Innovation Technology and Robotics, Universidad Privada Boliviana (UPB), Cap. Ustariz Avenue km 6.5, Casilla, Cochabamba 3967, Bolivia
*
Author to whom correspondence should be addressed.
Machines 2019, 7(1), 12; https://doi.org/10.3390/machines7010012
Received: 2 October 2018 / Revised: 2 January 2019 / Accepted: 8 January 2019 / Published: 1 February 2019
Vibration-Based Condition Monitoring (VBCM) provides essential data to perform Condition-Based Maintenance for efficient, optimal, reliable, and safe industrial machinery operation. However, equipment required to perform VBCM is often relatively expensive. In this paper, a low-cost vibration measurement system based on a microcontroller platform is presented. The FRDM K64F development board was selected as the most suitable for fulfilling the system requirements. The industrial environment is highly contaminated by noise (electromagnetic, combustion, airborne, sound borne, and mechanical noise). Developing a proper antialiasing filter to reduce industrial noise is a real challenge. In order to validate the developed system, evaluations of frequency response and phase noise were carried out. Additionally, vibration measurements were recorded in the industry under different running conditions and machine configurations. Data were collected simultaneously using a standard reference system and the low-cost vibration measurement system. Results were processed using Fast Fourier Transform and Welch’s method. Finally, a low-cost vibration measurement system was successfully created. The validation process demonstrates the robustness, reliability, and accuracy of this research approach. Results confirm a correlation between signal frequency spectrum obtained using both measurement systems. We also introduce new guidelines for practical data storage, communications, and validation process for vibration measurements. View Full-Text
Keywords: data acquisition; vibration analysis; machine diagnosis; vibration-based condition monitoring (VBCM); condition based maintenance (CBM); Fourier transform; Welch’s method; software; firmware; microcontroller data acquisition; vibration analysis; machine diagnosis; vibration-based condition monitoring (VBCM); condition based maintenance (CBM); Fourier transform; Welch’s method; software; firmware; microcontroller
Show Figures

Figure 1

MDPI and ACS Style

Villarroel, A.; Zurita, G.; Velarde, R. Development of a Low-Cost Vibration Measurement System for Industrial Applications. Machines 2019, 7, 12.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop