Salah Saad

Development of measurement precision of sensor vibration

In this paper, an accelerometer mathematical model is developed and simulated to choose the best damping rate value to limit the measurement error to 1%. Using this model, the equations of relative movement modulus and measurement error with respect to damping rate and frequency ratio can be determined. The developed model is validated by a series of tests carried out by computer simulation. The obtained results have shown that a suitable damping rate can minimize the measurement error of relative movement to 1 %. The presented model is a useful tool to improve the damping rate and measurement precision of the accelerometer.

Development of Model and Enhancement of Measurement Precision of Sensor Vibration

In this paper, research on a vibration sensor (accelerometer) that converts mechanical load to an electrical signal is carried out. An accelerometer mathematical model is developed to select the best damping rate value to reduce the measurement error as much as possible. The main purpose of this paper is to enhance the vibration sensor performances (choice of the best value of damping rate and minimization of measurement error by increasing sensor precision and reliability). The developed model is validated by computer simulation and experimental tests. The obtained results have demonstrated that an appropriate damping rate can reduce measurement error of relative movement to 1%.

Modeling and enhancement of mechanical sensitivity of vibration sensor

In this paper, the mechanical sensitivity of a vibration sensor is investigated by developing a mathematical model with the function of a relative movement modulus and measurement error. This model enables mechanical sensitivity to be improved by enhancing the performance of the vibration sensor. The purpose of the present work is to reduce measurement error by choosing the right damping rate that enables vibration sensor sensitivity to be optimized. The presented model is validated by computer simulation and experimental tests. The obtained results have shown that correct choice of damping rate and frequency range keeps the mechanical sensitivity constant.

Reducing the Measurement Error to Optimize the Sensitivity of the Vibration Sensor

This paper is focused on the reduction of measurement error to obtain a high sensitive sensor. A mathematical model related to mechanical sensitivity is developed as a function of measurement error. This model can improve the measured value (indicated by the vibration sensor) as close as possible to the real value. To achieve this objective, the damping rate is enhanced by making the appropriate choice to reduce and limit the measurement error to a minimum (1%), to increase the measurement accuracy to 99%, and to minimize the uncertainty of the mechanical sensitivity of the vibration sensor to 0.5%. Therefore, in this paper, several parameters are improved and a new accurate, reliable, and sensitive vibration sensor is proposed.

New Formula for the Piezoresistive Accelerometer Motion Acceleration and Experimental Validation

A piezoresistive accelerometer is the first element of a vibration measurement chain, and its improvement can enhance measurement quality. In this paper, we have developed a new formula that links ...

Improvement of Method Queues by Progress of the Piezoresistive Accelerometer Parameters

In this paper the queues are used as a method to improve maintenance performance. The information collected by vibration analysis is used to check the system status and see whether a maintenance op...

New model of piezoelectric accelerometer relative movement modulus

A piezoelectric accelerometer is the first element of a vibration measurement chain, and its improvement can enhance measurement quality. In this work, a new model of relative movement modulus as a function of measurement error is developed, thus minimizing the measurement error and increasing the measurement precision of the accelerometer. Therefore, a precise relationship between the movement relative frequency and the piezoelectric accelerometer natural frequency is extracted in order to determine a good frequency range relative to the piezoelectric accelerometer. Thus, the failure risk of the resonance phenomenon is minimized and the accelerometer piezoelectric reliability is optimized. The developed model is confirmed and validated by experimental tests. The purpose and the objective of this work is to improve the performance and the design of the accelerometer.