Vibration Measurement and Diagnostics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 12377

Special Issue Editors


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Guest Editor
Department of Sciences and Methods of Engineering, University of Modena and Reggio Emilia, 42122 Modena, Italy
Interests: fault detection of machinery; vibration-based condition monitoring; mechanical systems modeling; bearing analysis
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Guest Editor
Department of Engineering, University of Ferrara, Ferrara, Italy
Interests: signal processing for diagnostics of mechanical systems

Special Issue Information

Dear Colleagues,

So far, condition monitoring has become more and more relevant in different fields of application. Among others, the most challenging aspect in the field is still the diagnostics of rotating machineries in an industrial environment, and the most used sensor is still an accelerometer to measure the vibration signal from the device under test.

Over the last few decades, scientific literature has proposed amazing analytical tools to process vibration data in different operating conditions, both stationary and non-stationary. But the development of algorithms is just a part of the diagnostics process; the choice of the proper measurement chain can also favor or hinder data analysis. Recently, accelerometers have begun being used together with other sensors like encoders, strain-gauges, and current probes in order to increase the information content available for diagnostics.

Data acquisition and post processing – together – depict a wider and clearer portrait of the diagnostics problem and its solution. This Special Issue focuses on sharing recent advances, developments, and applications on the condition monitoring of machineries with particular attention to all aspects of the process: from the design of the experimental setup to data processing, from the choice of sensors to component diagnostics. Different applications or working conditions could require different approaches to diagnostics to success. We invite you to share your experience and knowledge and to show the results of your work.

Prof. Dr. Marco Cocconcelli
Prof. Dr. Gianluca D’Elia
Guest Editor

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Keywords

  • Measurements
  • Vibration analysis
  • Diagnosis
  • Fault detection
  • Machinery
  • Structural health monitoring
  • Condition monitoring
  • Signal processing
  • Big data
  • Deep learning

Published Papers (4 papers)

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Research

11 pages, 1569 KiB  
Article
Spectral Characteristics of Rail Surface by Measuring the Growth of Rail Corrugation
by Wootae Jeong
Appl. Sci. 2021, 11(20), 9568; https://doi.org/10.3390/app11209568 - 14 Oct 2021
Cited by 1 | Viewed by 2218
Abstract
Continuous interaction between wheels and rails during train operation results in rail wear and tear. Corrugation of the rail surface is particularly caused by the contact mechanism between train wheel and rail and increases the vibration and dynamic wheel load, and if continued, [...] Read more.
Continuous interaction between wheels and rails during train operation results in rail wear and tear. Corrugation of the rail surface is particularly caused by the contact mechanism between train wheel and rail and increases the vibration and dynamic wheel load, and if continued, leads to various defects and breakage of the track. Many devices are used to measure corrugation accurately, but measurement deviation varies greatly by measuring device. The most common corrugation measurement system measures surface roughness with a vibration acceleration sensor or displacement sensor. Corrugation with different pitches can be calculated by assuming the longitudinal rail surface as a chord with variable wavelength. Recent systems use a measurement model applying multiple sensors for more accurate measurement. This study investigated spectral characteristics of rail surface roughness based on long time measurement results. In particular, spectral changes upon the growth of rail surface wear and corrugation were analyzed when using the measurement system applying the chord offset method with multiple sensors. The results of analysis were verified through the field subway section, a running track undergoing corrugation, three months after initial measurement, and compared the measurement results according to the number of sensors. Additionally, the rail surface wavelength bands that affected measurement value according to the number of sensors were analyzed. Full article
(This article belongs to the Special Issue Vibration Measurement and Diagnostics)
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20 pages, 6236 KiB  
Article
Single Output and Algebraic Modal Parameters Identification of a Wind Turbine Blade: Experimental Results
by Luis Gerardo Trujillo-Franco, Hugo Francisco Abundis-Fong, Rafael Campos-Amezcua, Roberto Gomez-Martinez, Armando Irvin Martinez-Perez and Alfonso Campos-Amezcua
Appl. Sci. 2021, 11(7), 3016; https://doi.org/10.3390/app11073016 - 28 Mar 2021
Cited by 2 | Viewed by 1764
Abstract
This paper describes the evaluation of a single output, online, and time domain modal parameters identification technique based on differential algebra and operational calculus. In addition, an analysis of the frequency response function (FRF) of the system is conducted in a specific set [...] Read more.
This paper describes the evaluation of a single output, online, and time domain modal parameters identification technique based on differential algebra and operational calculus. In addition, an analysis of the frequency response function (FRF) of the system is conducted in a specific set up, emulating its nominal or operational conditions to determine the influence of the non-linearities over the dynamic behavior of the system in those particular magnitudes of deformations; thus, this influence is quantified by a numerical index. This methodology is applied to a wind turbine blade submitted to wind tunnel experiments. The natural frequencies and modal damping ratios of six bending modes associated with the blade are estimated using real-time velocity measurements from one single point of the blade. A comparison with the usual impact hammer modal testing is performed to evaluate and establish the proposed approach’s main contributions. The developed modal parameter identification algorithms are implemented to run into a standard personal computer (PC) where the data acquisition system’s measurements are conditioned and processed. The results show the performance and the fast parametric estimation of the proposed algebraic identification approach. Full article
(This article belongs to the Special Issue Vibration Measurement and Diagnostics)
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30 pages, 2700 KiB  
Article
Control of Automotive Semi-Active MR Suspensions for In-Wheel Electric Vehicles
by Mauricio Anaya-Martinez, Jorge-de-J. Lozoya-Santos, L.C. Félix-Herrán, Juan-C. Tudon-Martinez, Ricardo-A. Ramirez-Mendoza and Ruben Morales-Menendez
Appl. Sci. 2020, 10(13), 4522; https://doi.org/10.3390/app10134522 - 29 Jun 2020
Cited by 12 | Viewed by 3719
Abstract
In this work, four different semi-active controllers for a quarter of vehicle and full vehicles are evaluated and compared when used in internal combustion engine (ICE) vehicles vs electric vehicles (EVs) with in-wheel motor configuration as a way to explore the use of [...] Read more.
In this work, four different semi-active controllers for a quarter of vehicle and full vehicles are evaluated and compared when used in internal combustion engine (ICE) vehicles vs electric vehicles (EVs) with in-wheel motor configuration as a way to explore the use of semi-active suspension systems in this kind of EVs. First, the quarter of vehicle vertical dynamics is analyzed and then a full vehicle approach explores the effectiveness of the control strategies and the effects of the traction in the vertical Control performances. Aspects like the relation between traction and suspension performances, and the resonance frequencies are also discussed. Full article
(This article belongs to the Special Issue Vibration Measurement and Diagnostics)
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14 pages, 17931 KiB  
Article
Study on the Influencing Factors of the Atomization Rate in a Piezoceramic Vibrating Mesh Atomizer
by Qiufeng Yan, Wanting Sun and Jianhui Zhang
Appl. Sci. 2020, 10(7), 2422; https://doi.org/10.3390/app10072422 - 02 Apr 2020
Cited by 22 | Viewed by 3877
Abstract
On the basis of previous study in our research group, the phenomenon of the dynamic tapered angle was founded, the occurrence of atomization is regarded to derive from the combined effects of the dynamic variation of the micro-tapered aperture, and the difference between [...] Read more.
On the basis of previous study in our research group, the phenomenon of the dynamic tapered angle was founded, the occurrence of atomization is regarded to derive from the combined effects of the dynamic variation of the micro-tapered aperture, and the difference between forward and reverse flow resistance has been explained by both theories and experiments. It has been revealed that the main influencing factors of the atomization rate are driving voltage, driving frequency, and so on, while the root causes of the various atomization rates still need to be further clarified. In this paper, a micro-tapered aperture worked as a micron-sized tapered flow tube valveless piezoelectric pump in periodic variation. The working principle of such a micro-tapered aperture atomizer was analyzed in detail, and the corresponding formula of the atomization rate was also established. Through measuring the atomization rates at different working frequencies (f), it was established that when the f was set as 122 kHz, the atomization rate reached a maximum value. By building the relationship between the atomization rate and voltage at a fixed resonance frequency, it can be seen that the atomization rate increased with the increase of driving voltage. Subsequently, in order to measure their atomization rates, the micro-tapered apertures of three different outlet diameters were applied, so that the atomization rate was enhanced with the increase of the micro-tapered aperture diameter. Moreover, through examining the atomization rates at different temperatures, it was observed that the atomization rate rose with increasing temperature; while changing the liquid concentration, the atomization rate was also enhanced by the increase in its concentration. Apparently, the impact factors including working frequency, driving voltage, outlet diameter, temperature, and liquid concentration all exert some effects on the atomization rate. It is worth noting that at the first stage, these influence factors indirectly work on the micro-tapered aperture structure or flow state, followed by further effects on the flow resistance. As above-mentioned, in this work, we considered that the root cause influencing the atomization rate in a piezoceramic vibrating mesh atomizer can be attributed to the flow resistance. Full article
(This article belongs to the Special Issue Vibration Measurement and Diagnostics)
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