ArticleSensors (Basel, Switzerland)2022
Non-Invasive Acoustic Monitoring of Gas Turbine Units by Fiber Optic Sensors.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Implementation of a Length Gauge Based on Optical Frequency Domain Reflectometry (OFDR).Sensors (Basel, Switzerland) · 2026Article
- A Review of Multiparameter Fiber-Optic Distributed Sensing Techniques for Simultaneous Measurement of Temperature, Strain, and Environmental Effects.Sensors (Basel, Switzerland) · 2025Review
- Measurement of Strain and Vibration, at Ambient Conditions, on a Dynamically Pressurised Aircraft Fuel Pump Using Optical Fibre Sensors.Sensors (Basel, Switzerland) · 2025Article
- Registration of Sounds Emitted by the Madagascar Hissing Cockroach Using a Distributed Acoustic Sensor.Sensors (Basel, Switzerland) · 2025Article
- Characterization of sensitivity of optical fiber cables to acoustic vibrations.Scientific reports · 2023Article
- Classification of Events Violating the Safety of Physical Layers in Fiber-Optic Network Infrastructures.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
In this article, we study the possibility of gas turbine unit (GTU) monitoring using interferometric fiber optic sensors. We used the Mach-Zehnder interferometer (MZI) scheme, which can be easily implemented and simply installed on the turbine, and also allows us to solve the problem of phase unwrapping conveniently. In this research, the following main steps were carried out: an experimental scheme based on the MZI was assembled, and its sensitive arm was fixed on the GTU under study; data on various operation modes of the GTU was collected; the data were subjected to frequency FFT analysis, based on which the main rotational speeds of the turbine were identified. With FFT analysis, we also demonstrated multiples harmonics, which appear in the case of GTU after operating time, caused by the number of blades. The possibility of GTU monitoring and analysis using a non-invasive compact fiber-optic sensor is demonstrated: spectral analysis is used to detect the rotor speed, as well as the presence or absence of high-order multiple frequencies indicating blade and bearing defects, which are determined by the number of GTU's blades and rolling bearing used as turbines rotor supports.
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Registered trials
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