The Experts below are selected from a list of 16815 Experts worldwide ranked by ideXlab platform
Edgar Charry - One of the best experts on this subject based on the ideXlab platform.
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A CMOS Signal Conditioning circuit for piezoresistive pressure sensors
2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2002Co-Authors: J. Ramírez, Edgar CharryAbstract:This work presents a Signal Conditioning circuit for piezoresistive pressure sensors to be used in telemetry systems The architecture of the circuit is based on a voltage-to-time converter and it will be used with an IMEMS. The architecture includes the zero adjustment stage and temperature compensation necessary for piezoresistive pressure sensors and fulfills the requirements of systems implanted inside the human body (small size, high precision, long-term stability and low power consumption).
Jijun Xiong - One of the best experts on this subject based on the ideXlab platform.
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a high temperature piezoresistive pressure sensor with an integrated Signal Conditioning circuit
Sensors, 2016Co-Authors: Zong Yao, Ping-gang Jia, Lei Qi, Ting Liang, Yingping Hong, Cheng Lei, Bin Zhang, Jijun XiongAbstract:This paper focuses on the design and fabrication of a high-temperature piezoresistive pressure sensor with an integrated Signal-Conditioning circuit, which consists of an encapsulated pressure-sensitive chip, a temperature compensation circuit and a Signal-Conditioning circuit. A silicon on insulation (SOI) material and a standard MEMS process are used in the pressure-sensitive chip fabrication, and high-temperature electronic components are adopted in the temperature-compensation and Signal-Conditioning circuits. The entire pressure sensor achieves a hermetic seal and can be operated long-term in the range of −50 °C to 220 °C. Unlike traditional pressure sensor output voltage ranges (in the dozens to hundreds of millivolts), the output voltage of this sensor is from 0 V to 5 V, which can significantly improve the Signal-to-noise ratio and measurement accuracy in practical applications of long-term transmission based on experimental verification. Furthermore, because this flexible sensor’s output voltage is adjustable, general follow-up pressure transmitter devices for voltage converters need not be used, which greatly reduces the cost of the test system. Thus, the proposed high-temperature piezoresistive pressure sensor with an integrated Signal-Conditioning circuit is expected to be highly applicable to pressure measurements in harsh environments.
J. Ramírez - One of the best experts on this subject based on the ideXlab platform.
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A CMOS Signal Conditioning circuit for piezoresistive pressure sensors
2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353), 2002Co-Authors: J. Ramírez, Edgar CharryAbstract:This work presents a Signal Conditioning circuit for piezoresistive pressure sensors to be used in telemetry systems The architecture of the circuit is based on a voltage-to-time converter and it will be used with an IMEMS. The architecture includes the zero adjustment stage and temperature compensation necessary for piezoresistive pressure sensors and fulfills the requirements of systems implanted inside the human body (small size, high precision, long-term stability and low power consumption).
Zong Yao - One of the best experts on this subject based on the ideXlab platform.
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a high temperature piezoresistive pressure sensor with an integrated Signal Conditioning circuit
Sensors, 2016Co-Authors: Zong Yao, Ping-gang Jia, Lei Qi, Ting Liang, Yingping Hong, Cheng Lei, Bin Zhang, Jijun XiongAbstract:This paper focuses on the design and fabrication of a high-temperature piezoresistive pressure sensor with an integrated Signal-Conditioning circuit, which consists of an encapsulated pressure-sensitive chip, a temperature compensation circuit and a Signal-Conditioning circuit. A silicon on insulation (SOI) material and a standard MEMS process are used in the pressure-sensitive chip fabrication, and high-temperature electronic components are adopted in the temperature-compensation and Signal-Conditioning circuits. The entire pressure sensor achieves a hermetic seal and can be operated long-term in the range of −50 °C to 220 °C. Unlike traditional pressure sensor output voltage ranges (in the dozens to hundreds of millivolts), the output voltage of this sensor is from 0 V to 5 V, which can significantly improve the Signal-to-noise ratio and measurement accuracy in practical applications of long-term transmission based on experimental verification. Furthermore, because this flexible sensor’s output voltage is adjustable, general follow-up pressure transmitter devices for voltage converters need not be used, which greatly reduces the cost of the test system. Thus, the proposed high-temperature piezoresistive pressure sensor with an integrated Signal-Conditioning circuit is expected to be highly applicable to pressure measurements in harsh environments.
H Saha - One of the best experts on this subject based on the ideXlab platform.
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ann based Signal Conditioning and its hardware implementation of a nanostructured porous silicon relative humidity sensor
Sensors and Actuators B-chemical, 2006Co-Authors: Tarikul Islam, S Ghosh, H SahaAbstract:Porous silicon (PS) is a potential candidate for developing a low cost smart relative humidity sensor, but its main limitation is that the response is a nonlinear function of humidity, suffering from hysteresis and drift due to aging. The present work proposes novel ANN-based Signal Conditioning to compensate the nonlinearity and hysteresis errors of a PS humidity sensor by using a soft computing technique based on an adaptive linear (ADALINE) neural network. The proposed network is simple to implement and requires less hardware elements. The ANN model is implemented in hardware using a microcontroller (AT89C51) to make the sensor output be direct digital readout. Minimum calibrating data points necessary for developing the model for compensating the errors are also established. Experimental and simulation studies show that nonlinearity is reduced to 2.7% from its initial 13% while the hysteresis error is reduced to 3% from its initial 16% value for a typical PS humidity sensor. The outputs of a hardware-implemented circuit follow the results of simulation. The proposed Signal Conditioning can be extended for other sensors with and without hysteresis.
