Applications of Compressive Sensing Technique in Structural Health Monitoring

2013 ◽  
Vol 558 ◽  
pp. 561-566
Author(s):  
Yue Quan Bao ◽  
Hui Li ◽  
Jin Ping Ou
Keyword(s):  
Data Acquisition ◽  
Compressive Sensing ◽  
Sampling Rate ◽  
Random Sets ◽  
Moving Loads ◽  
Software Complexity ◽  
Equation Problem ◽  
Acceleration Data ◽  
Application Potential ◽  
Sparse Solutions

Compressive sampling also called compressive sensing (CS) is a emerging information theory proposed recently. CS provides a new sampling theory to reduce data acquisition, which says that sparse or compressible signals can be exactly reconstructed from highly incomplete random sets of measurements. CS broke through the restrictions of the Shannon theorem on the sampling frequency, which can use fewer sampling resources, higher sampling rate and lower hardware and software complexity to obtain the measurements. Not only for data acquisition, CS also can be used to find the sparse solutions for linear algebraic equation problem. In this paper, the applications of CS for SHM are presented including acceleration data acquisition, lost data recovery for wireless sensor and moving loads distribution identification. The investigation results show that CS has good application potential in SHM.

Adaptive Data Acquisition for Fast Ultrasonic Imaging Using Laser Induced Phased Arrays

2021 ◽  
Author(s):  
Peter Lukacs ◽  
Theodosia Stratoudaki ◽  
Geo Davis ◽  
Anthony Gachagan
Keyword(s):  
Data Acquisition ◽  
Laser Scanning ◽  
Phased Arrays ◽  
A Priori ◽  
Data Set ◽  
Synthesis Time ◽  
Application Potential ◽  
Time Savings ◽  
Ultrasonic Images ◽  
Acquisition Method

Abstract This study introduces a novel data acquisition method, the Selective Matrix Capture (SMC), that can adapt the array geometry during data acquisition, to the demands of the inspected structure, such as the defects encountered. The adaptive data acquisition method is enabled by the use of Laser Induced Phased Arrays (LIPAs). We have previously demonstrated high-resolution ultrasonic images of the interior of components using Full Matrix Capture (FMC) and the Total Focusing Method (TFM). However, capturing the FMC requires long synthesis time due to signal averaging and mechanical laser scanning, compromising the application potential of LIPAs. Given that most components are defect free, significant time savings can be obtained by only acquiring high-fidelity data when a defect is indicated. The paper presents the Selective Matrix Capture that acquires data more efficiently without a priori knowledge of the location of the defects, while still achieving the superior imaging quality provided by an FMC data set.

Proving the Preclusion of Data Manipulation Using Parallel Data Acquisition in Chromatography

2018 ◽  
Vol 941 ◽  
pp. 2390-2394
Author(s):  
David Thomas Marehn ◽  
Detlef Wilhelm ◽  
Heike Pospisil ◽  
Roberto Pizzoferrato
Keyword(s):  
Data Acquisition ◽  
Best Practice ◽  
Sampling Rate ◽  
Good Manufacturing Practice ◽  
Special Role ◽  
Analytical Instruments ◽  
Data Collector ◽  
Parallel Data ◽  
Time Variations ◽  
Hplc Detector

Traceability has an enormous value for companies, but especially for those working in the regulated environment. It plays a special role in the field of pharmacy with respect to manufacturing, controlling and distributing batches of drugs. Through the guidance of Good Manufacturing Practice (GMP) traceability should be ensured. An increasing number of pharmaceutical companies are member of one of the global pharmacopoeias (United States Pharmacopeia, European Pharmacopeia and Japanese Pharmacopeia). The specifications of these pharmacopoeias describe the best practice in documentation, control, qualification and risk management. But however, the pharmacopoeias are written very generally and do not distinguish between the vendors of the analytical instruments. Here, we analyze how chromatographic analyses and data acquisition rely on a specific vendor of the device and the chromatography data system (CDS), the controlling software. We present a way to compare the data acquisition of different CDSs communicating with HPLC instruments. A newly developed software called Data Collector allows the acquisition of data from a HPLC detector parallel to the controlling CDS in the same run. Two HPLC systems and two different CDSs using a well defined sample standard have been tested. The direct comparison of the acquired data precludes unexpected data manipulations of both tested CDSs and shows that there are primarily deviations between the CDSs due to time variations only which depend on the sampling rate. All in all the Data Collector can be used for the traceability of data acquisition.

Increasing the Efficiency of Seismic Data Acquisition via Compressive Sensing

2014 ◽  
Author(s):  
Charles Mosher ◽  
Chengbo Li ◽  
Larry Morley ◽  
Yonchang Ji ◽  
Frank Janiszewski ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Compressive Sensing ◽  
Seismic Data ◽  
Seismic Data Acquisition

Compressive sensing of phased array ultrasonic signal in defect detection: Simulation study and experimental verification

2017 ◽  
Vol 17 (3) ◽  
pp. 434-449 ◽  
Author(s):  
Zhiliang Bai ◽  
Shili Chen ◽  
Qiyang Xiao ◽  
Lecheng Jia ◽  
Yanbo Zhao ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Defect Detection ◽  
Phased Array ◽  
Electrical Discharge Machining ◽  
Optimal Algorithm ◽  
Greedy Algorithms ◽  
Sampling Rate ◽  
Discrete Wavelet ◽  
Reconstruction Performance ◽  
Ultrasonic Phased Array

Ultrasonic phased array techniques are widely used for defect detection in structural health monitoring field. The increase in the element number, however, leads to larger amounts of data acquired and processed. Recently developed compressive sensing states that sparse signals may be accurately recovered from far fewer measurements, suggesting the possibility of breaking through the sampling limit of the Nyquist theorem. In light of this significant advantage, the novel use of the compressive sensing methodology for ultrasonic phased array in defect detection is proposed in this work. Based on CIVA software, we first present a simulated study on the effectiveness of the compressive sensing applied in ultrasonic phased array in defect detection through the average mean percent residual difference at varying compression rates. The results particularly show that the compressive sensing yields a breakthrough of the sampling limitation. We then experimentally demonstrate comparative analyses on the signals extracted from three types of artificial flaws (through-hole, flat-bottom hole, and electrical discharge machining notches) on two different specimens (made of aluminum and 20# steel). To find the optimal algorithm combination, the best sparse representation basis is chosen among fast Fourier transform, discrete cosine transform, and 34 wavelet kernels; the reconstruction performance is compared between five greedy algorithms; and the recovery accuracy is further improved via four sensing matrices selection. We also evaluate the influence of the sampling rate, and our results are comparable with the gold standard of signal compression, namely, the discrete wavelet transform.

Multi-Channel Simultaneous Data Acquisition System with Variable Sampling Rate

2014 ◽  
Vol 635-637 ◽  
pp. 896-900
Author(s):  
Rui Qing Mao
Keyword(s):  
Data Acquisition ◽  
Performance Test ◽  
Sampling Rate ◽  
Data Acquisition System ◽  
Input Voltage ◽  
Sampling Frequency ◽  
Acquisition System ◽  
Environmental Detection ◽  
Interface Circuit ◽  
Voltage Range

Data Acquisition System is very important for Environmental Detection Robot in its self-positioning or measuring the spatial distribution of the concentration of poisonous and harmful gases, so the sampling frequency adjustable multi-channel synchronous data acquisition system was designed to satisfy the requirement of Environmental Detection Robot. Signal conditioning circuit,AD7606 interface circuit and the sampling frequency adjustable function were introduced in detail. The performance test results indicate that the data acquisition system can acquire multi-channel Data Simultaneously in real time, furthermore, the sampling rate and input voltage range can be set according to need, its provides the guarantee For environmental detection robot's follow-up data analysis.

An Efficient Data Acquisition System for Automatic Transmission

2012 ◽  
Vol 239-240 ◽  
pp. 865-868
Author(s):  
Chun Fu Li ◽  
Yan Qin Li
Keyword(s):  
Data Acquisition ◽  
Virtual Instrument ◽  
Automatic Transmission ◽  
Sampling Rate ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Transmission Oil ◽  
Data Acquisition Card ◽  
Efficient Data ◽  
Armored Vehicle

A data acquisition system for electronic automatic transmission test, which makes use of American NI’s data acquisition card, is designed based on Virtual Instrument. The data can be collected by the data acquisition system include automatic transmission oil pressure, solenoid duty, as well as speed of turbine and output shaft of transmission and throttle degree of engine and so on. The key problems of the system design are measurement method of automatic transmission solenoid duty, signal conditioning circuit design and how to improve sampling rate of the system. Test platform is of a armored vehicle which has equipped a high-power electronic automatic transmission. The automatic transmission shift control strategy and characteristics of throttle oil pressure etc can be obtained through test data acquisition.

PC104 Interface Recommended for High Speed Data Acquisition Systems

2013 ◽  
Vol 332 ◽  
pp. 119-123
Author(s):  
Dorina Purcaru ◽  
Anca Purcaru
Keyword(s):  
Data Acquisition ◽  
High Speed ◽  
Low Cost ◽  
Sampling Rate ◽  
Signal Acquisition ◽  
Synchronized Sampling ◽  
Data Acquisition Systems ◽  
High Speed Data Acquisition ◽  
High Speed Data ◽  
Energetic Systems

The interface presented in this paper performs a synchronized sampling of all eight common-mode or differential analog inputs with a high sampling rate. This is a low cost interface, entirely controlled by the PC104 CPU. The paper is focused on design and operation aspects of the synchronized analog-to-digital conversion module. This interface is recommended for high speed data acquisition systems and finds its utility in energetic systems, for monitoring the power quality and for recording different specific transient events. Some programmable electronic modules which perform analog and digital signal acquisition in energetic systems already contain a PC104 interface with synchronized sampling of analog inputs; some experimental results are also presented in this paper.

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