Condition monitoring system for rotating machinery with in situ learning
1
Department of Mechanics and Vibroacoustics, Faculty of Mechanical Engineering and Robotics,
AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Kraków, Poland
Submission date: 2026-05-21
Final revision date: 2026-07-10
Acceptance date: 2026-07-15
Online publication date: 2026-07-15
Publication date: 2026-07-15
Corresponding author
Paweł Pawlik
Department of Mechanics and Vibroacoustics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Kraków
Department of Mechanics and Vibroacoustics, Faculty of Mechanical Engineering and Robotics, AGH University of Krakow, al. A. Mickiewicza 30, 30-059 Kraków
KEYWORDS
TOPICS
ABSTRACT
This article presents a system for monitoring the technical condition of rotating machines operating under variable operating conditions, i.e. variable load and temperature. The system can automatically determine sets of reference curves that describe the relationship between spectral component amplitudes and the load. Sets of reference curves are determined for different operating temperatures. These characteristics are determined in situ during fault-free operation of the machine. They are then used in the diagnostic process to determine new spectra of the rRMSD and r∆Amax parameters, which describe the deviation of the current curves from the reference curves. The new spectra are independent of changes in load and temperature.
The paper also describes the implementation of the method in an industrial controller with a real-time operating system (RTOS) and an FPGA. The developed monitoring system was tested on a laboratory test bench. The effectiveness of the method in diagnosing imbalance and misalignment of the gearbox output shaft was investigated. The system enabled the detection of subtle changes that had been made.
FUNDING
The project was financed by the Polish Ministry of Science and Higher Education
[project No. 10 000-501.00-130 000].
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