St. Petersburg State University scientists create ultra-precise method for monitoring machine tool condition
Scientists from St. Petersburg State University (SPbSU) have developed an innovative active sensing method for monitoring rotating equipment. The method uses a mechanical vibration generator to create a reference signal, enabling accurate isolation of each component's vibration and early detection of defects. The results are patented and promise to reduce unplanned downtime by 30–50% and maintenance costs by 10–20%.
Scientists at St. Petersburg State University have developed a patented method for monitoring rotating equipment such as turbines, compressors, and pumps. Traditional vibration diagnostics use passive sensors on the machine housing, but the complex signals from multiple components make it hard to isolate specific defects. The new method introduces an active vibration generator that emits a reference signal in a frequency range free of machine vibrations. By measuring the attenuation of this signal, the system calculates a coefficient to subtract the noise from adjacent parts, isolating the signature of each component. Different types of degradation produce unique spectral patterns, and the method allows detection at much earlier stages. This enables a shift from scheduled maintenance to condition-based maintenance, reducing unplanned downtime by 30–50% and maintenance costs by 10–20%.
Source: CNews —
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