A laser triangulation sensor for vibrational structural analysis and diagnostics

The industrial progress has reached a level in which it is necessary to understand the behavior of mechanical components and to monitor their conditions without disassembling them. Nowadays, a suitable methodology is based on vibrational analysis usually performed through acceleration signals measured directly on the system to be tested. However, in the last years, the industrial scenario has deeply changed due to the need for time reduction, in particular, for the control operations at the end of the productive line. The genuine methods based on acceleration measurements, for example, through piezoelectric accelerometers, came into conflict with the industrial need as the sensors used for the quality control have to be easily and fastly mounted and unmounted. A valid alternative is represented by the exploitation of laser triangulation sensors that are able to measure the dynamic displacement in a contactless way, strongly reducing the (un)mounting time. The target of this paper is to highlight pros and cons of the contactless displacement analysis through laser triangulation sensors with respect to the contact one through genuine accelerometers by means of a comparison between the results obtained both for experimental modal analysis and vibrational diagnostics of rotating machines.

[1]  Zhan Gao,et al.  A new laser displacement sensor based on triangulation for gauge real-time measurement , 2008 .

[2]  Anders Brandt,et al.  Comparison of experimental and operational modal analysis on a laboratory test plate , 2017 .

[3]  Jianming Ding,et al.  Dynamic unbalance detection of Cardan shaft in high-speed train applying double decomposition and double reconstruction method , 2015 .

[4]  Emiliano Mucchi,et al.  On the comparison between displacement modal testing and strain modal testing , 2015 .

[5]  S. Bi,et al.  Correction of Transducers Mass Effects from the Measured FRFs in Hammer Impact Testing , 2017 .

[6]  Manolis Georgioudakis,et al.  A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data , 2018 .

[7]  Dario Di Maio,et al.  Extending modal testing technology for model validation of engineering structures with sparse nonlinearities: A first case study , 2017 .

[8]  I. R. Hitchen Vibration Monitoring for Rotating Machinery , 1980 .

[9]  Emiliano Mucchi,et al.  On the identification of the angular position of gears for the diagnostics of planetary gearboxes , 2017 .

[10]  P. N. Saavedra,et al.  Accurate assessment of computed order tracking , 2006 .

[11]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .

[12]  Paul Sas,et al.  Modal Analysis Theory and Testing , 2005 .

[13]  Robert B. Randall,et al.  Rolling element bearing diagnostics—A tutorial , 2011 .

[14]  Katharina Burger,et al.  Random Data Analysis And Measurement Procedures , 2016 .

[15]  Giorgio Dalpiaz,et al.  Application of Cyclostationary Indicators for the Diagnostics of Distributed Faults in Ball Bearings , 2013 .

[16]  P. D. McFadden,et al.  APPLICATION OF SYNCHRONOUS AVERAGING TO VIBRATION MONITORING OF ROLLING ELEMENT BEARINGS , 2000 .

[17]  Paolo Pennacchi,et al.  Diagnosis and model based identification of a coupling misalignment , 2005 .

[18]  D. J. Ewins MODAL ANALYSIS, EXPERIMENTAL | Basic Principles , 2001 .

[19]  Adolfo Senatore Measuring the natural frequencies of centrifugally tensioned beam with laser doppler vibrometer , 2006 .

[20]  Ming J. Zuo,et al.  Amplitude and frequency demodulation analysis for fault diagnosis of planet bearings , 2016 .