Ultra-High Resistance Measurement Based on Offset Current Compensation

2013 ◽  
Vol 373-375 ◽  
pp. 856-860
Author(s):  
Xiao Jun Wang ◽  
Yong Jie Zhao ◽  
Jian Xue
Keyword(s):  
High Resistance ◽  
Current Measurement ◽  
Compensation Method ◽  
Measurement Process ◽  
Resistance Measurement ◽  
Time Varying ◽  
Current Compensation ◽  
Approximate Zero ◽  
On Line ◽  
Measurement Algorithm

An on-line offset current compensation method is proposed to improve ultra-high resistance (UHR) measurement more accurately and reliably. Iterative compensation algorithm is firstly adopted to generate compensation current by adjusting the compensation DAC to decrease the offset current to approximate zero, and then on-line offset current measurement algorithm is employed to ensure the time-varying offset current is always in an appropriate range. This algorithm can maintain a continuous unsaturated measurement process. Experiment results show that the uncertainty (k=2) is 1.4% for 1014Ω and 5.5% for 1015Ω under ±1000V based on the offset current compensation method proposed, which has been successfully implemented in a commercial UHR meter.

On-line first-order machining error compensation for thin-walled parts considering time-varying cutting condition

2021 ◽  
pp. 1-16
Author(s):  
Xiong Zhao ◽  
Lianyu Zheng ◽  
Yuehong Zhang
Keyword(s):  
Error Compensation ◽  
Compensation Method ◽  
Cutting Condition ◽  
Time Varying ◽  
Machining Error ◽  
Process Step ◽  
Compensation Model ◽  
First Order ◽  
On Line ◽  
Thin Walled

Abstract Mirror error compensation is usually employed to improve the machining precision of thin-walled parts. However, this zero-order method may result in inadequate error compensation, due to the time-varying cutting condition of thin-walled parts. To cope with this problem, an on-line first-order error compensation method is proposed for thin-walled parts. With this context, firstly, the time-varying cutting condition of thin-walled parts is defined with its in-process geometric and physical characteristics. Based on it, a first-order machining error compensation model is constructed. Then, during the process planning, the theory geometric and physical characteristic of thin-walled parts are respectively obtained with CAM software and structure dynamic modification method. After process performing, the real geometric characteristic of thin-walled parts is measured, and it is used to calculate the dimension error of thin-walled parts. Next, the error compensated value is evaluated based on the compensation model, from which, an error compensation plane is constructed to modify the tool center points for next process step. Finally, the machining error is compensated by performing the next process step. A milling test of thin-walled part is employed to verify the proposed method, and the experiment results shown that the proposed method can significantly improve the error compensation effect for low-stiffness structure, and thickness precision of thin-walled parts is improved by 71.4 % compared with the mirror error compensation method after machining.

Characterization of a Resistive Path to a Gate Node Using Tunneling Current Measurements

2010 ◽  
Author(s):  
Clifford Howard ◽  
Sam Subramanian ◽  
Kent Erington ◽  
Randall Mulder ◽  
Yuk Tsang ◽  
...  
Keyword(s):  
High Resistance ◽  
Tunneling Current ◽  
Resistance Measurement ◽  
Gate Leakage ◽  
Advanced Technologies

Abstract Advanced technologies with higher gate leakage due to oxide tunneling current enable detection of high resistance faults to gate nodes using a straight forward resistance measurement.

Simulated On-Line Process Optimization of a Robotic Materials Handling System

1986 ◽  
Vol 108 (3) ◽  
pp. 285-291
Author(s):  
M. S. King ◽  
J. K. Blundell
Keyword(s):  
Process Optimization ◽  
Kinematic Model ◽  
Industrial Robots ◽  
Time Varying ◽  
Optimization Strategy ◽  
Materials Handling ◽  
On Line ◽  
Line Process ◽  
Time Varying Environment ◽  
Varying Environment

Industrial robots in use today lack the total ability to perceive and interact with their environment. This limitation is a major obstacle confronting robotic systems developers. This work outlines an on-line process optimization strategy which allows a robot to work within a time-varying environment. After developing the kinematic model of the robot and its relationship to its environment, the process optimization strategy is simulated. The performance of the system is measured by using an index of performance and comparing the simulation results against a series of non-optimized models. The results indicate that on-line process optimization strategy significantly increases the performance of a robotic system operating in a time-varying environment.

scholarly journals On-Line Open-Phase Fault Detection Method for Switched Reluctance Motors with Bus Current Measurement

Actuators ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 117
Author(s):  
Alejandra de la Guerra ◽  
Victor M. Jimenez-Mondragon ◽  
Lizeth Torres ◽  
Rafael Escarela-Perez ◽  
Juan C. Olivares-Galvan
Keyword(s):  
Test Bench ◽  
Angular Position ◽  
Current Measurement ◽  
Switched Reluctance Motors ◽  
Switched Reluctance ◽  
Virtual Test ◽  
Open Phase ◽  
On Line ◽  
Different Sources ◽  
A Current

This article introduces an on-line fault diagnosis (FD) system to detect and recognize open-phase faults in switched reluctance motors (SRMs). Both tasks, detection and recognition, are based on functions built with the same information but from different sources. Specifically, these functions are constructed from bus current measurement provided by a sensor and from the estimate of such a current provided by an extended Kalman filter (EKF) that performs the estimation from only rotor angular position measurements. In short, the FD system only requires two measurements for employment: bus current and angular position. In order to show its efficacy, results from numerical simulations (performed in a virtual test bench) are presented. Specifically, these simulations involve the dynamics of the SRM, including the magnetic phenomena caused by the analyzed faults. The motor dynamics were obtained with finite element simulations, which guarantee results close to the actual ones.

A circuit for high resistance measurement

1977 ◽  
Vol 65 (7) ◽  
pp. 1094-1095
Author(s):  
M.V. Sobajic
Keyword(s):  
High Resistance ◽  
Resistance Measurement

Fast Tracking for Video Target Tracking

2013 ◽  
Vol 303-306 ◽  
pp. 2245-2248 ◽  
Author(s):  
Xue Bo Jin ◽  
Jing Jing Du ◽  
Jia Bao
Keyword(s):  
Video Tracking ◽  
Sampling Time ◽  
Irregular Sampling ◽  
Time Varying ◽  
Fast Tracking ◽  
Adaptive Parameters ◽  
Markov Random ◽  
Time Varying Parameters ◽  
On Line ◽  
Very High

Fast video tracking can result in irregular sampling tracking problem. This paper transforms the irregular sampling measurement to the time-varying parameters and develops a model with adaptive parameters on line by the autocorrelation function of Markov random processing. Simulations and experiments show the good fast-tracking performance can be get by the model developed here even at very high irregular rate of measurement sampling time.

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