scholarly journals Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4028
Author(s):  
Raoul R. Nigmatullin ◽  
Timur Agliullin ◽  
Sergey Mikhailov ◽  
Oleg Morozov ◽  
Airat Sakhabutdinov ◽  
...  
Keyword(s):  
Rotor Blades ◽  
Sensor Data ◽  
Treatment Methods ◽  
Helicopter Blade ◽  
Data Treatment ◽  
Optimal Linear ◽  
Linear Smoothing ◽  
Estimation System ◽  
The One ◽  
Fiber Optic Strain Sensors

The work presents data treatment methods aimed at eliminating the noise in the strain sensor data induced by vibrations of the helicopter blade in flight conditions. The methods can be applied in order to enhance the metrological performance of the helicopter weight estimation system based on the deformation measurement of the main rotor blades. The experimental setup included a composite plate fixed to the vibrating stand on the one end, with six fiber-optic strain sensors attached to its surface. In this work, the procedure of the optimal linear smoothing (POLS) and 3D-invariant methods were used to obtain monotone calibration curves for each detector, thereby making it possible to distinguish the increase of load applied to the free end of the plate with an increment of 10 g. The second method associated with 3D invariants took into account 13 quantitative parameters defined as the combination of different moments and their intercorrelations up to the fourth-order inclusive. These 13 parameters allowed the calculation of the 3D surface that can serve as a specific fingerprint, differentiating one set of initial data from another one. The combination of the two data treatment methods used in this work can be applied successfully in a wide variety of applications.

scholarly journals Raman Spectra of Nanodiamonds: New Treatment Procedure Directed for Improved Raman Signal Marker Detection

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Raoul R. Nigmatullin ◽  
Dumitru Baleanu ◽  
Diana Povarova ◽  
Numan Salah ◽  
Sami S. Habib ◽  
...  
Keyword(s):  
Raman Spectra ◽  
High Refractive Index ◽  
Spectroscopic Studies ◽  
Raman Signal ◽  
Heating Rates ◽  
Inert Core ◽  
Optimal Linear ◽  
Linear Smoothing ◽  
New Treatment ◽  
Increasing Temperature

Detonation nanodiamonds (NDs) have shown to be promising agents in several industries, ranging from electronic to biomedical applications. These NDs are characterized by small particle size ranging from 3 to 6 nm, while having a reactive surface and a stable inert core. Nanodiamonds can exhibit novel intrinsic properties such as fluorescence, high refractive index, and unique Raman signal making them very attractive imaging agents. In this work, we used several nanodiamond preparations for Raman spectroscopic studies. We exposed these nanodiamonds to increasing temperature treatments at constant heating rates (425–575°C) aiding graphite release. We wanted to correlate changes in the nanodiamond surface and properties with Raman signal which could be used as adetection marker. These observations would hold potential utility in biomedical imaging applications. First, the procedure of optimal linear smoothing was applied successfully to eliminate the high-frequency fluctuations and to extract the smoothed Raman spectra. After that we applied the secondary Fourier transform as the fitting function based on some significant set of frequencies. The remnant noise was described in terms of the beta-distribution function. We expect this data treatment to provide better results in biomolecule tracking using nanodiamond base Raman labeling.

Source Camera Identification Based on Sensor Readout Noise

2010 ◽  
Vol 2 (3) ◽  
pp. 28-42 ◽  
Author(s):  
H. R. Chennamma ◽  
Lalitha Rangarajan
Keyword(s):  
Computer Software ◽  
Sensor Data ◽  
Processing Parameter ◽  
Source Camera Identification ◽  
Camera Identification ◽  
Novel Approach ◽  
Deviation Plot ◽  
Readout Noise ◽  
The One ◽  
Imaging Sensor

A digitally developed image is a viewable image (TIFF/JPG) produced by a camera’s sensor data (raw image) using computer software tools. Such images might use different colour space, demosaicing algorithms or by different post processing parameter settings which are not the one coded in the source camera. In this regard, the most reliable method of source camera identification is linking the given image with the sensor of camera. In this paper, the authors propose a novel approach for camera identification based on sensor’s readout noise. Readout noise is an important intrinsic characteristic of a digital imaging sensor (CCD or CMOS) and it cannot be removed. This paper quantitatively measures readout noise of the sensor from an image using the mean-standard deviation plot, while in order to evaluate the performance of the proposed approach, the authors tested against the images captured at two different exposure levels. Results show datasets containing 1200 images acquired from six different cameras of three different brands. The success of proposed method is corroborated through experiments.

scholarly journals Outlier Data Treatment Methods Toward Smart Grid Applications

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 39849-39859 ◽  
Author(s):  
Li Sun ◽  
Kaile Zhou ◽  
Xiaoling Zhang ◽  
Shanlin Yang
Keyword(s):  
Smart Grid ◽  
Treatment Methods ◽  
Data Treatment ◽  
Grid Applications ◽  
Outlier Data

Investigation of Data Treatment Methods for Wireless Tracing System in Automotive Industry

2013 ◽  
Vol 739 ◽  
pp. 527-531
Author(s):  
Y.M. Yang ◽  
D. Salvatore ◽  
S.H. Yang ◽  
M.H. Wu ◽  
A. Oraifige
Keyword(s):  
Automotive Industry ◽  
Fuzzy Data ◽  
Treatment Methods ◽  
Average Data ◽  
Data Treatment ◽  
Different Types ◽  
Wireless Signal

The paper introduces the data treatment methods of the wireless signal in a car tracing system at automotive manufactures stock yard. The paper shows the overall of the function of the wireless tracing system and introduces the Fingerprint method used in the system first. And then, the paper introduced how to use the wireless signal data to build up the database used for Fingerprint method in each board router. Two different types of data have been mentioned in the paper which are going to be stored into the database are average data and Fuzzy data. The following paragraphs of the paper introduces the application of the wireless tracing system based on Fingerprint method and discusses the influence of the different grid definitions of the stock yard to the application.

scholarly journals High-Resolution Cathodoluminescence Hyperspectral Imaging of Nitride Nanostructures

2012 ◽  
Vol 18 (6) ◽  
pp. 1212-1219 ◽  
Author(s):  
Paul R. Edwards ◽  
Lethy Krishnan Jagadamma ◽  
Jochen Bruckbauer ◽  
Chaowang Liu ◽  
Philip Shields ◽  
...  
Keyword(s):  
High Resolution ◽  
Hyperspectral Imaging ◽  
Low Noise ◽  
Luminescent Materials ◽  
Treatment Methods ◽  
Data Treatment ◽  
Spatially Resolved ◽  
Single Dataset ◽  
Cathodoluminescence Imaging

AbstractHyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally dispersing the collected light before detection, increases the challenge of generating low-noise images. This article describes aspects of the instrumentation, and in particular data treatment methods, which address this problem. The methods are demonstrated by applying them to the analysis of nanoscale defect features and fabricated nanostructures in III-nitride-based materials.

scholarly journals Effect of Rotor Tip Clearance and Configuration on Overall Performance of a 12.77-Centimeter Tip Diameter Axial-Flow Turbine

1979 ◽  
Author(s):  
J. E. Haas ◽  
M. G. Kofskey
Keyword(s):  
Experimental Investigation ◽  
Rotor Blade ◽  
Axial Flow ◽  
Single Stage ◽  
Rotor Blades ◽  
Tip Clearance ◽  
Blade Height ◽  
Overall Performance ◽  
Flow Reaction ◽  
The One

An extensive experimental investigation was made to determine the effect of varying the rotor tip clearance of a 12.77-cm-tip diameter, single-stage, axial-flow reaction turbine. In this investigation, the rotor tip clearance was obtained by use of a recess in the casing above the rotor blades and also by use of a reduced blade height. For the recessed casing configuration, the optimum rotor blade height was found to be the one where the rotor tip diameter was equal to the stator tip diameter. The tip clearance loss associated with this optimum recessed casing configuration was less than that for the reduced blade height configuration.

scholarly journals AI-Based Approach for Lawn Length Estimation in Robotic Lawn Mowers

2021 ◽  
Author(s):  
Yoichi Shiraishi ◽  
Haohao Zhang ◽  
Kazuhiro Motegi
Keyword(s):  
Close Correlation ◽  
Autonomous Driving ◽  
Mobility Control ◽  
Sensor Data ◽  
Observation Data ◽  
Lawn Mower ◽  
Length Estimation ◽  
Ground Conditions ◽  
Estimation System ◽  
Correct Estimation

This chapter describes a part of autonomous driving of work vehicles. This type of autonomous driving consists of work sensing and mobility control. Particularly, this chapter focuses on autonomous work sensing and mobility control of a commercial electric robotic lawn mower, and proposes an AI-based approach for work vehicles such as a robotic lawn mower. These two functions, work sensing and mobililty control, have a close correlation. In terms of efficiency, the traveling speed of a lawn mower, for example, should be reduced when the workload is high, and vice versa. At the same time, it is important to conserve the battery that is used for both work execution and mobility. Based on these requirements, this chapter is focused on developing an estimation system for estimating lawn grass lengths or ground conditions in a robotic lawn mower. To this end, two AI algorithms, namely, random forest (RF) and shallow neural network (SNN), are developed and evaluated on observation data obtained by a fusion of ten types of sensor data. The RF algorithm evaluated on data from the fusion of sensors achieved 92.3% correct estimation ratio in several experiments on real-world lawn grass areas, while the SNN achieved 95.0%. Furthermore, the accuracy of the SNN is 94.0% in experiments where sensor data are continuously obtained while the robotic lawn mower is operating. Presently, the proposed estimation system is being developed by integrating two motor control systems into a robotic lawn mower, one for lawn grass cutting and the other for the robot’s mobility.

scholarly journals Automatic detection and correction of pitch misalignment in wind turbine rotors

2018 ◽  
Author(s):  
Marta Bertelè ◽  
Carlo L. Bottasso ◽  
Stefano Cacciola
Keyword(s):  
Wind Turbine ◽  
Simple Algorithm ◽  
Operating Conditions ◽  
Rotor Blades ◽  
Harmonic Amplitude ◽  
Simulation Environment ◽  
Fixed Frame ◽  
Turbine Rotors ◽  
The One ◽  
Turbine Model

Abstract. In this work, a new algorithm is presented to correct for pitch misalignment imbalances of wind turbine rotors. The method uses signals measured in the fixed frame of the machine, typically in the form of accelerations or loads. The amplitude of the one per revolution signal harmonic is used to quantify the imbalance, while its phase to locate the unbalanced blade(s). The near linearity of the unknown relationship between harmonic amplitude and pitch misalignment is used to derive a simple algorithm that iteratively rebalances the rotor. This operation is conducted while the machine is in operation, without the need of shutting it down. The method is not only applicable to the case of a single misaligned blade, but also to the generic case of multiple concurrent imbalances. A part from the availability of acceleration or load sensors, the method requires the ability of the rotor blades to be commanded independently from one another, which is typically possible on many modern machines. The new method is demonstrated in a realistic simulation environment, using an aeroservoelastic wind turbine model in a variety of wind and operating conditions.

scholarly journals AN INTERACTIVE LOGISTICS CENTRE INFORMATION INTEGRATION SYSTEM USING VIRTUAL REALITY

2018 ◽  
Vol XLII-3 ◽  
pp. 523-526
Author(s):  
S. Hong ◽  
B. Mao
Keyword(s):  
Virtual Reality ◽  
Information Integration ◽  
Sensor Data ◽  
Virtual Reality Technology ◽  
Integration System ◽  
Logistics Industry ◽  
Emergency Situations ◽  
Supervision Training ◽  
Modern Cities ◽  
The One

The logistics industry plays a very important role in the operation of modern cities. Meanwhile, the development of logistics industry has derived various problems that are urgent to be solved, such as the safety of logistics products. This paper combines the study of logistics industry traceability and logistics centre environment safety supervision with virtual reality technology, creates an interactive logistics centre information integration system. The proposed system utilizes the immerse characteristic of virtual reality, to simulate the real logistics centre scene distinctly, which can make operation staff conduct safety supervision training at any time without regional restrictions. On the one hand, a large number of sensor data can be used to simulate a variety of disaster emergency situations. On the other hand, collecting personnel operation data, to analyse the improper operation, which can improve the training efficiency greatly.

Source Camera Identification Based on Sensor Readout Noise

2012 ◽  
pp. 21-34
Author(s):  
H. R. Chennamma ◽  
Lalitha Rangarajan
Keyword(s):  
Computer Software ◽  
Sensor Data ◽  
Processing Parameter ◽  
Source Camera Identification ◽  
Camera Identification ◽  
Novel Approach ◽  
Deviation Plot ◽  
Readout Noise ◽  
The One ◽  
Imaging Sensor

A digitally developed image is a viewable image (TIFF/JPG) produced by a camera’s sensor data (raw image) using computer software tools. Such images might use different colour space, demosaicing algorithms or by different post processing parameter settings which are not the one coded in the source camera. In this regard, the most reliable method of source camera identification is linking the given image with the sensor of camera. In this paper, the authors propose a novel approach for camera identification based on sensor’s readout noise. Readout noise is an important intrinsic characteristic of a digital imaging sensor (CCD or CMOS) and it cannot be removed. This paper quantitatively measures readout noise of the sensor from an image using the mean-standard deviation plot, while in order to evaluate the performance of the proposed approach, the authors tested against the images captured at two different exposure levels. Results show datasets containing 1200 images acquired from six different cameras of three different brands. The success of proposed method is corroborated through experiments.

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