ADDITIONAL INFORMATION FROM FLOWMETERS VIA SIGNAL ANALYSIS

被引：5

作者：

AMADIECHENDU, JE

HIGHAM, EH

机构：

[1] School of Engineering and Applied Sciences, University of Sussex, Brighton

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1990年 / 39卷 / 06期

关键词：

Data Processing - Data Acquisition - Flowmeters - Signal Filtering and Prediction - Statistical Methods - Time Series Analysis - Systems Science and Cybernetics - Identification;

D O I：

10.1109/19.65814

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The need to apply modern signal processing techniques to enhance the performance of process instrumentation systems has been identified as one of the priority areas for research and development in process instrumentation and process control. This performance enhancement can be in the form of extracting additional information from flowmeters beyond the customary requirements of measuring the flow rate. This paper demonstrates the new importance of flow measurement signals from the point of view of extracting additional information such as for condition monitoring purposes, and for diagnostic engineering management and optimization of process plant operations. The signal processing methods involve system identification techniques and the qualitative signatures which have been identified for a turbine flowmeter system have also been related to the condition of the process plant. © 1990 IEEE

引用

页码：998 / 1003

页数：6

共 4 条

[1] IDENTIFICATION OF PROCESS PLANT SIGNATURES USING FLOW MEASUREMENT SIGNALS [J].