A Humidity Measurement Method Based on Comb-Shaped Sensor

2013 ◽  
Vol 325-326 ◽  
pp. 827-831
Author(s):  
Xuan Zhe Wang ◽  
Man Man Liu ◽  
Shan Ting Ding ◽  
Hao Wei Wang
Keyword(s):  
Signal Processing ◽  
Input Signal ◽  
Measurement Method ◽  
Capacitive Sensor ◽  
Corrosion Monitoring ◽  
Atmospheric Humidity ◽  
Humidity Measurement ◽  
Noise Impact ◽  
Humidity Monitoring ◽  
Important Significance

Humidity measurement is an important link of corrosion monitoring in aircrafts and tanks. But the traditional monitor systems are not portable, can’t be real-time monitoring and other shortcomings. In order to solve these problems, a method that using a new sensor -- comb-shaped capacitive sensor in the humidity monitoring has been proposed. This method is based on electrical theory, combined with the processing of circuit, including the generation of the input signal, signal processing, and acquisition of output signal, and finally analyze the data collected to achieve the purpose of the monitoring of humidity.The problem of how to reduce the noise impact, how to simplify the theoretical calculation and other problems are considered and resolved in the design of the system.Compared with the traditional methods, the system based on this method is simple and compact because of its simple on the hardware design and the characteristics of the sensor. The experimental results show that this method has an very important significance in the atmospheric humidity monitoring.

scholarly journals An Inexpensive, Stable, and Accurate Relative Humidity Measurement Method for Challenging Environments

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 398 ◽  
Author(s):  
Wei Zhang ◽  
Hong Ma ◽  
Simon Yang
Keyword(s):  
Relative Humidity ◽  
Measurement Method ◽  
Humidity Measurement

scholarly journals Prototyping a System for Truck Differential Lock Control

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3619 ◽  
Author(s):  
Pavel Kučera ◽  
Václav Píštěk
Keyword(s):  
Signal Processing ◽  
Input Signal ◽  
Control Algorithm ◽  
Main Part ◽  
Proper Function ◽  
Mechatronic System ◽  
Important Benefit ◽  
Differential Lock ◽  
The Many ◽  
Prototype Testing

The article deals with the development of a mechatronic system for locking vehicle differentials. An important benefit of this system is that it prevents the jamming of the vehicle in difficult adhesion conditions. The system recognizes such a situation much sooner than the driver and is able to respond immediately, ensuring smooth driving in off-road or snowy conditions. This article describes the control algorithm of this mechatronic system, which is designed for firefighting, military, or civilian vehicles with a drivetrain configuration of up to 10 × 10, and also explains the input signal processing and the control of actuators. The main part of this article concerns prototype testing on a vehicle. The results are an evaluation of one of the many experiments and monitor the proper function of the developed mechatronic system.

UARS Microwave Limb Sounder upper tropospheric humidity measurement: Method and validation

2001 ◽  
Vol 106 (D23) ◽  
pp. 32207-32258 ◽  
Author(s):  
W. G. Read ◽  
J. W. Waters ◽  
D. L. Wu ◽  
E. M. Stone ◽  
Z. Shippony ◽  
...  
Keyword(s):  
Measurement Method ◽  
Humidity Measurement ◽  
Upper Tropospheric Humidity

Discrete Electronic Warfare Signal Processing using Compressed Sensing Based on Random Modulator Pre-Integrator

2015 ◽  
Vol 65 (6) ◽  
pp. 472 ◽  
Author(s):  
M. Sreenivasa Rao ◽  
Chandan C. Mishra ◽  
K. Krishna Naik ◽  
K. Maheshwara Reddy
Keyword(s):  
Signal Processing ◽  
Input Signal ◽  
High Speed ◽  
Traditional Approach ◽  
Ultra Wideband ◽  
Radar Signal ◽  
Electromagnetic Spectrum ◽  
Electronic Warfare ◽  
High Speed Adc ◽  
Detection Of Signals

Electronic warfare receiver works in the wide electromagnetic spectrum in dense radar signal environment. Current trends in radar systems are ultra wideband and low probability of intercept radar technology. Detection of signals from various radar stations is a concern. Performance and probability of intercept are mainly dependent on high speed ADC technology. The sampling and reconstruction functions have to be optimized to capture incoming signals at the receiver to extract characteristics of the radar signal. The compressive sampling of the input signal with orthonormal base vectors, projecting the basis in the union of subspaces and recovery through convex optimisation techniques is the current traditional approach. Modern trends in signal processing suggest the random modulator pre-integrator (RMPI), which sample the input signal at information rate non-adaptively and recovery by the processing of discrete and finite vectors. Analysis of RMPI theory, application to EW receiver, simulation and recovery of EW receiver signals are discussed.

Jitter measurement method for the PRML signal processing

2005 ◽  
Author(s):  
Kazuya Katano ◽  
Mamoru Shoji ◽  
Keiji Kuono ◽  
Katsuya Watanabe
Keyword(s):  
Signal Processing ◽  
Measurement Method ◽  
Jitter Measurement

Three-Ring Gear Reducer Internal Tooth Plate Processing Method in the Research and Analysis

2014 ◽  
Vol 472 ◽  
pp. 312-315
Author(s):  
Hong Bin Yang ◽  
Qiang Wang
Keyword(s):  
Phase Difference ◽  
Processing Method ◽  
Motion Simulation ◽  
Ring Gear ◽  
Tooth Plate ◽  
Noise Impact ◽  
Cutting Out ◽  
Positioning Method ◽  
The Difference ◽  
Important Significance

Ref. [ based on the analysis of internal tooth plate in the process of locating method, on the basis of the author thinks that the positioning adjustment of internal tooth plate Angle is not easy to measure in actual processing, the positioning adjustment Angle is not easy to guarantee the positioning, a direct impact on the accuracy of phase difference between tooth plate. If the difference accuracy of inner teeth cannot guarantee, cause vibration and noise, impact of three-ring gear reducer will intensify, temperature increase, reduce the service life, even can't assembly. Through the analysis of the principle of three-ring gear reducer, the paper puts forward the inner tooth plate treatment positioning adjustment Angle is 120°, measurement is simple and convenient location, is advantageous to the guarantee of phase difference accuracy of inner teeth. Using UG NX7.0 platform, with a new positioning method to establish model of inner rack, and then using UG stretch command on the establishment of good internal tooth plate model of cutting out the tooth shape, and motion simulation. The results show that the new Angle of inner gear plate positioning adjustment feasible, and fast and convenient, has important significance to the development of three-ring gear reducer.

scholarly journals THE USE OF DIGITAL SIGNAL PROCESSING AND A NEURAL NETWORK WHEN GENERATING A FORECAST OF TIME SERIES OF DATA FOR THE PURPOSE OF DETECTING ANOMALIES IN THE IN THE AUTOMATED CONTROL OF TECHNOLOGICAL PROCESSES

2020 ◽  
Vol 20 (1) ◽  
pp. 24-34
Author(s):  
A. N. Ragozin ◽  
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Input Signal ◽  
Forecast Error ◽  
Digital Signal ◽  
Processing Unit ◽  
Automated Control ◽  
Prediction Result ◽  
Low Pass

n order to detect anomalies and improve the quality of forecasting dynamic data flows observed from sensors in Industrial Control System (ACS)., it is proposed to use a predictive mod-ule consisting of a series-connected digital signal processing unit (DSP) and a predictive unit using a neural network (predictive autoencoder ( Auto Encoder), predictive Autoencoder (PAE)). The study showed that the preliminary DSP block of the predicted input signal, consisting of a parallel set (comb) of digital low-pass filters with finite impulse responses (FIR-LPF), leads to a non-equilibrium account of the correlation relationships of the time samples of the input signal and to increase the accuracy of the final prediction result. The predicted autoencoder (PAE) pro-posed and considered in the work, in addition to restoring the input signal or part of the input signal at the PAE output, also generates the predicted samples of the input signal for the speci-fied number of «forward» time steps at the output, which increases the accuracy of the predic-tion result. The reduction of the forecast error occurs due to the imposition of restrictions in the formation of the forecast, that is, an additional requirement to restore the input samples of the samples – «stabilizers» at the NS output. The introduction of «stabilizers» increases the accuracy of the prediction result.

A Multi-Point Radio Displacement Measurement Method for Testing Quake-Proof Structure

2002 ◽  
Author(s):  
Atsushi Okamura ◽  
Tadashi Mikoshiba ◽  
Wataru Yosizaki ◽  
Hideki Nagai ◽  
Atsushi Mogi ◽  
...  
Keyword(s):  
Signal Processing ◽  
Measurement Method ◽  
Experimental System ◽  
Digital Signal ◽  
Reference Points ◽  
Displacement Measurement ◽  
Shaking Table ◽  
Processing Unit ◽  
Signal Processing Unit ◽  
Phase Differences

In this paper, we propose a remote 3-D displacement measurement method using the radio wave for indoor shaking table facilities. It also shows the effectiveness of the proposed method by some radio experiments using a shaking table. The proposed measurement system consists of simple transmitters attached to each reference point and several receiving antennas at different places connected with a digital signal processing unit. The locations of the transmitters are simultaneously estimated by observing the phase differences between signals at receiving antennas. This prototype radio experimental system consists of 3 transmitters of frequency 2.45GHz, 4 receiving antennas and a microcomputer. We made the demonstration for the reconstructions of the 0.1Hz and 2Hz sinusoidal excitations at 3 reference points of the testing structure on the shaking table. The accuracy of estimated displacement was several centi-meters to several mili-meters.

Performance Comparison of Sub Phonetic Model with Input Signal Processing

2006 ◽  
Vol 2 (7) ◽  
pp. 577-582 ◽  
Author(s):  
Dr.E. Ramaraj ◽  
E. Chandra
Keyword(s):  
Signal Processing ◽  
Input Signal ◽  
Performance Comparison
Sign in / Sign up

Export Citation Format

Share Document