Nonlinear Errors Correction of Pressure Sensor Based on BP Neural Network

Jiang, Xiaoyan; Bao, Yujun

doi:10.1109/iwisa.2009.5072977

Cited by 4 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective of the proposed method is the decreasing of the error level in pressure sensor measurement. The improvement of sensor performance has been achieved successfully [14]. The error correction method based on Support Vector Machine (SVM) has been proposed by Zhang.…”

Section: Methodsmentioning

confidence: 99%

The Performance Improvement of the Low-Cost Ultrasonic Range Finder (HC-SR04) Using Newton’s Polynomial Interpolation Algorithm

Gandha

Nurcipto

2019

INFOTEL

View full text Add to dashboard Cite

The ultrasonic range finder sensors are widely used sensor in many applications such as computer applications, general purpose applications, medical applications, automotive applications and industrial grade applications. The ultrasonic range finder sensor has many advantages. The advantages are easy to use, fast in measuring process, non-contact measurement and suitable for air and underwater environment. However, the ultrasonic range finder has deviation especially for low-cost sensor. It affects the accuracy level of the measurement result that performed by its sensor directly. The HC-SR04 categorized as a low-cost ultrasonic range finder sensor. This sensor has significant error level. The improvement of the accuracy level of this low-cost ultrasonic sensor is expected to this research. The Newton’s polynomial interpolation algorithm has been used in this research to reduce the error during the measurement process. The implementation of Newton’s polynomial interpolation has succeeded to improve the sensor accuracy. The MSE level of 29,96 is obtained without the Newton’s Polynomial Interpolation implementation. The implementation of the Newton’s Polynomial Interpolation algorithm has succeeded to increase the accuracy level of the sensor by 55,54%. It has been proofed by the decrease of MSE level by 13,32.

show abstract

Section: Methodsmentioning

confidence: 99%

The Performance Improvement of the Low-Cost Ultrasonic Range Finder (HC-SR04) Using Newton’s Polynomial Interpolation Algorithm

Gandha

Nurcipto

2019

INFOTEL

View full text Add to dashboard Cite

show abstract

“…The decrease of the error level in pressure sensor measurement is the objective of the proposed method. The results showed the improvement of the sensor performance has been achieved [19]. Zhang has proposed Support Vector Machine (SVM) based-error correction method for infrared methane sensor.…”

Section: Methodsmentioning

confidence: 99%

The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV)

Gandha¹,

Nurcipto

2019

INFOTEL

View full text Add to dashboard Cite

Indonesia is the one of the countries with the largest of sea area. However, the water surveillance categorized as minimum. The human resource and the low level of infrastructure are the causal of the minimum level of water surveillance. The human involvement of water surveillance has many weaknesses, such as weak against the change of the nature condition, limitation in reaching location, weak against water turbidity levels and water pollution. The utilization of ROV (Remotely Operated Underwater Vehicle) could be a solution in water surveillance problem. The development of ROV still not significant in Indonesia. The development costs are also a problem in development of ROV. Many researcher using USBL (Ultra Short Base Line) sensor to sense the depth of the ROV. However, the cost of this sensor is relatively expensive. The usage of low-cost pressure sensor could be a solution to replace the USBL sensor. The low-cost pressure sensor has a significant deviation. The implementation of Newton’s polynomials interpolation algorithm has been used to decreased the deviation level of the sensors. The result shows the algorithm has succeeded to decreased the deviation level of the pressure sensor significantly. The default sensor has significant MSE value of 42956.2. The Newton interpolation algorithm has been succeeded to reducing the MSE value to 17.82. The result of this research is expected to reduce the cost of the ROVs development especially for sensors cost.

show abstract

“…The learning process of standard BP algorithm consists of forwardpropagation of input signal and back-propagation of output error signal [22]. In our simulation, the input signal is the resistance values, the output signal is the force loaded on the sensor.…”

Section: Learning Process Of Standard Bp Algorithmmentioning

confidence: 99%

Structure Analysis and Decoupling Research of a Novel Flexible Tactile Sensor Array

et al. 2015

View full text Add to dashboard Cite

This paper presents a novel flexible tactile sensor structure and proposes an efficient decoupling algorithm for the tactile sensor. Firstly, structure of the sensor model is introduced, and the sensing mechanism of the sensor array based on force-sensitive conductive rubber is analyzed. Then the mapping relation between the resistances of conductive pillars and the three-dimensional force is deduced. After that, the force applied on the tactile sensor is decoupled from the resistance information by the improved Back Propagation Neural Network (BPNN) algorithm with the number of hidden layer nodes optimized. The flexible tactile sensor model achieves the decomposition of the three-dimensional information from the structure with its unique design, avoids the direct interference between electrodes of the sensor array, reduces the structural complexity and the nonlinear degree, improves the decoupling accuracy, and accelerates the decoupling rate.

show abstract

Nonlinear Errors Correction of Pressure Sensor Based on BP Neural Network

Cited by 4 publications

References 0 publications

The Performance Improvement of the Low-Cost Ultrasonic Range Finder (HC-SR04) Using Newton’s Polynomial Interpolation Algorithm

The Performance Improvement of the Low-Cost Ultrasonic Range Finder (HC-SR04) Using Newton’s Polynomial Interpolation Algorithm

The Newton’s Polynomials Interpolation Based-Error Correction Method for Low-Cost Dive Altitude Sensor in Remotely Operated Underwater Vehicle (ROV)

Structure Analysis and Decoupling Research of a Novel Flexible Tactile Sensor Array

Contact Info

Product

Resources

About