Position sensitive detector based non-contact vibration measurement with laser triangulation method utilizing Gabor Transform for noise reduction

被引:4
作者
Das, Sampa [1 ]
Khatri, Shakilahemad [1 ]
Saha, Ardhendu [1 ,2 ]
机构
[1] NIT Agartala, Dept Elect Engn, Agartala, India
[2] NIT Agartala, Dept Elect Engn, Agartala 799046, India
关键词
Laser triangulation; optical sensors; real-time signal processing; noncontact vibration measurement; gabor transform; FFT;
D O I
10.1177/10775463231173842
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Measurement of vibration without having contact with the target is crucial for many applications. However, real time vibration signals are frequently mixed with various levels of dynamic noises. In this research, a non-contact type vibration measurement system based on laser triangulation method is proposed by using a PSD (Position sensitive detector) and here a single axis Bruel and Kjaer piezoelectric accelerometer is used to validate the experimental results. The primary goal of this measurement system is to develop a Gabor Transform based signal denoising technique, in order to eliminate noise from the real-time vibration data. Furthermore, PSD platform vibration, which might cause unanticipated inaccuracies in the detected vibration data, has also been eliminated by utilizing a self-vibration compensation approach using an ADXL-345 three-axis accelerometer. The self-vibration compensated vibration measurement technique has been designed using an NI (national instruments) cRIO (CompactRIO) 9074 real-time FPGA (field programmable gate array) based embedded controller. Consequently, a Gabor Transform and Expansion-based Signal Processing Technique is designed using NI cRIO-9074 real time platform to reduce external noise from the self-vibration compensated vibration data. It has been observed that the implementation of Gabor Transform has improved the performance of the system in term of enhancing the SNR (Signal-to-noise ratio).
引用
收藏
页码:1984 / 1994
页数:11
相关论文
共 26 条
[1]   Low-Cost Vibration Sensor for Condition-Based Monitoring Manufactured from Polyurethane Foam [J].
Ajith R. ;
Tewari A. ;
Gupta D. ;
Tallur S. .
Tallur, Siddharth (stallur@ee.iitb.ac.in), 1600, Institute of Electrical and Electronics Engineers Inc. (01)
[2]  
Al-Badour F., 2010, 2010 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA 2010), P21, DOI 10.1109/ISSPA.2010.5605563
[3]  
BOUFENAR M, 2012, TIME FREQUENCY ANAL, P239
[4]   Calibrated non-contact vibrational harmonics measurement based on self-vibration compensated 2D-PSD with MEMS accelerometer using FFT analysis [J].
Das, Sampa ;
Saha, Ardhendu ;
Sujith Kumar, Chanda .
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2020, 14 (08) :877-882
[5]   Laser Beam Position-Dependent PSD-Based Calibrated Self-Vibration Compensated Noncontact Vibration Measurement System [J].
Das, Sampa ;
Saha, Ardhendu .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (09) :3308-3320
[6]   Vibration signal denoising for structural health monitoring by residual convolutional neural networks [J].
Fan, Gao ;
Li, Jun ;
Hao, Hong .
MEASUREMENT, 2020, 157
[7]   Gear fault diagnosis using the general linear chirplet transform with vibration and acoustic measurements [J].
Hartono, Dennis ;
Halim, Dunant ;
Roberts, Gethin W. .
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2019, 38 (01) :36-52
[8]   Vibration Sensor Data Denoising Using a Time-Frequency Manifold for Machinery Fault Diagnosis [J].
He, Qingbo ;
Wang, Xiangxiang ;
Zhou, Qiang .
SENSORS, 2014, 14 (01) :382-402
[9]   Application of blue laser triangulation sensors for displacement measurement through fire [J].
Hoehler, Matthew S. ;
Smith, Christopher M. .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2016, 27 (11)
[10]  
Kumar A, 2017, 2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), P240, DOI 10.1109/I2CT.2017.8226128