Prediction method for q-precentile life of intelligent meter

A smart meter and prediction method technology, applied in the direction of measuring devices, measuring electrical variables, electrical digital data processing, etc., to achieve the effect of reducing test costs and shortening test time

Inactive Publication Date: 2012-10-03
JIBEI ELECTRIC POWER COMPANY LIMITED CENT OF METROLOGY +1
View PDF2 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional life assessment method based on accelerated degradation test data can only give the MTBF (mean time

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Prediction method for q-precentile life of intelligent meter
  • Prediction method for q-precentile life of intelligent meter
  • Prediction method for q-precentile life of intelligent meter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0015] Aiming at the situation that the smart meter has high reliability and is difficult to degrade at room temperature, and the pseudo-lifetime conforms to the Weibull distribution, the embodiment of the present invention provides a method for predicting the reliable life of the smart meter based on the Weibull distribution. First, according to the pseudo-life estimation results of smart meters under various stress levels in the accelerated degradation test, the accelerated degradation model of temperature, humidity and current is established by using the generalized linear logarithmic model, and its parameters are determined; then the parameter points of the accelerated degradation model are obtained Based on the estimation and covariance matrix, the lower limit...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a prediction method for the q-precentile life of an intelligent meter and relates to the technical field of reliability estimation of accelerated degradation data. The method comprises the following steps: performing degradation path modeling according to test data, and obtaining the pseudo life estimation of the intelligent meter under all stress levels according to the failure threshold value of given parameters; building a Weibull distribution-based accelerated degradation model of three parameters, such as temperature, humidity and electrical stress according to the pseudo life estimation results of the intelligent meter under all stress levels of an accelerated degradation test, so as to obtain the point estimation and covariance estimation of the acceleration model; and obtaining the lower estimation of parameter service life of the intelligent meter under a given reliability degree and a given confidence degree in normal use conditions according to the point and covariance matrix of the parameters of the accelerated degradation model. Due to the adoption of the method, the test time is effectively shortened, the test expense is reduced, and the quick and accurate estimation of a stable period of an accelerometer is realized.

Description

technical field [0001] The invention relates to the technical field of reliability evaluation of accelerated degradation data, in particular to a method for predicting the reliable life of an intelligent electric meter. Background technique [0002] The energy meter is an important measuring instrument for the settlement of electric energy trade between the power generation company and the power supply company, as well as between the power supply company and the electricity customer. The measurement accuracy and operation reliability of electric energy meters have always been the focus of attention of power grid companies. [0003] With the continuous improvement of the manufacturing quality and screening process of electronic components, as well as the improvement of the design level of electronic energy meters, the reliability of domestic electronic energy meters has reached a relatively high level. As a high-end electronic energy meter that has been gradually promoted na...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00G01R35/04
Inventor 王思彤周晖宋伟易忠林周丽霞朱晓蕾刘影甘霖巨汉基
Owner JIBEI ELECTRIC POWER COMPANY LIMITED CENT OF METROLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap