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| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivered in | Standard Title (Description) | Status | PDF |
| GB/T 36245-2018 | English | 359 |
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Guide for reliability allocation of industrial process measurement and control instrument
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GB/T 36245-2018
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Basic data | Standard ID | GB/T 36245-2018 (GB/T36245-2018) | | Description (Translated English) | Guide for reliability allocation of industrial process measurement and control instrument | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | N10 | | Classification of International Standard | 25.040.40 | | Word Count Estimation | 18,195 | | Date of Issue | 2018-06-07 | | Date of Implementation | 2019-01-01 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration |
GB/T 36245-2018: Guide for reliability allocation of industrial process measurement and control instrument ---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Guide for reliability allocation of industrial process measurement and control instrument
ICS 25.040.40
N10
National Standards of People's Republic of China
Industrial Process Measurement and Control Instrumentation Reliability Distribution Guide
Published on.2018-06-07
2019-01-01 implementation
State market supervision and administration
China National Standardization Administration issued
Content
Foreword I
Introduction II
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 symbols and code 2
5 Reliability Distribution Principle 2
6 Reliability Distribution Procedure 2
7 Selection of allocation method 2
7.1 Select by stage 2
7.2 Select by condition 3
8 Reliability Allocation Method 3
8.1 and other distribution methods 3
8.2 Score allocation method 4
8.3 Proportional combination method 5
8.4 Importance Method 5
8.5 Reliability Redistribution Method 5
8.6 redundancy system proportional combination method 6
9 Reliability Distribution Results Analysis 6
Appendix A (informative) Software reliability allocation method 7
Appendix B (informative) The common reliability characteristics of the instrument 9
Appendix C (informative appendix) Reliability Distribution Method Application Case 10
Reference 14
Foreword
This standard was drafted in accordance with the rules given in GB/T 1.1-2009.
Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents.
This standard was proposed by the China Machinery Industry Federation.
This standard is under the jurisdiction of the National Industrial Process Measurement Control and Automation Standardization Technical Committee (SAC/TC124).
This standard was drafted. Chongqing Industrial Automation Instrumentation Research Institute, Yangzhou Electric Power Equipment Repairing Factory Co., Ltd., Chongqing Sichuan Instrument Automation Co., Ltd.
Co., Ltd., Nanjing Keyuan Automation Group Co., Ltd., Zhejiang Lente Electromechanical Co., Ltd., Shanghai Chenzhu Instrument Co., Ltd., Shanghai
Fanyi Technology Electronics Co., Ltd., Shenzhen Biaoli Technology Development Co., Ltd., Chongqing Dazheng Temperature Instrument Co., Ltd., Chongqing Science and Technology
Institute of Technology, China Electric Power Engineering Consulting Group Southwest Electric Power Design Institute, Southwest University, Chongqing Automation and Instrumentation Society.
The main drafters of this standard. Liu Xingli, Liu Qin, Chen Jiusong, Long Ping, Huang Yunqi, Shen Deming, Wu Fangliang, Yuan Zhen, Wang Shengbin, Chen Yu,
Zhou Hongqin, Sun Huaiyi, Zhang Jinbin, Zhou Xuelian, Fang Chao, Liu Xiaoli, Zhao Juan.
Introduction
With the advancement of science and technology and the increasing complexity of the use of industrial process measurement and control instruments, the reliability indicators of instruments have become
One of the most important technical indicators for measuring instrument quality. Reliability distribution is one of the most important means in reliability design technology.
Over the years, the development has become more and more mature. There are more than 10 methods that have been widely used at present, because each method has certain conditions and requirements.
With limited scope, not every method is applicable to industrial process measurement and control instruments;
With standards and specifications, this standard will be used to guide and standardize the distribution of reliability for industrial process measurement and control instrumentation engineers.
jobs.
The basic components of industrial process measurement and control instruments can be generally divided into hardware and software. The reliability mathematical model is a series junction.
Structure, some key parts will adopt a parallel structure to ensure the completion of the instrument task. Carry out industrial processes by summarizing national science and technology projects
Measurement and control instrument reliability research results and experience, combined with industrial process measurement and control instrumentation enterprise reliability distribution work practices,
According to its composition characteristics, six reliability distribution methods suitable for industrial process measurement and control instruments are recommended in this standard.
Use principles, assignment models, and assignment steps to guide engineers through the application. When the instrument reliability index is assigned, the instrument will be soft.
The article is considered as a whole, and the distribution methods proposed in Chapter 8 of this standard are applicable. If you need to redistribute the software part of the meter, you can
Examine Appendix A for implementation.
Industrial Process Measurement and Control Instrumentation Reliability Distribution Guide
1 Scope
This standard specifies the principles, procedures, methods and results analysis of the reliability distribution of industrial process measurement and control instruments (hereinafter referred to as meters).
This standard applies to the reliability distribution of instruments.
2 Normative references
The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article.
Pieces. For undated references, the latest edition (including all amendments) applies to this document.
GB/T 2900.13 Electrotechnical terminology credibility and service quality
GB/T 29821-2013 Guidelines for the preparation of instrument reliability technical reports for industrial process measurement and control systems
3 Terms and definitions
The following terms and definitions as defined in GB/T 2900.13 apply to this document. For ease of use, the following is repeated
Some terms and definitions in GB/T 2900.13.
3.1
Reliability
The ability of a product to perform a specified function under specified conditions and within a specified time interval.
Note. Rewrite GB/T 2900.13-2008, define 191-02-06.
3.2
Quantitative reliability requirement quantitativereliabilityrequirement
Reliability indicators specified in the contract or development task book.
3.3
Reliability distribution reliabilityalocation
The process of assigning the reliability requirements of a product to each component in accordance with a given criterion.
3.4
Reliability
The probability that a product will perform a specified function under specified conditions and within a specified time interval.
Note. Rewrite GB/T 2900.13-2008, define 191-12-01.
3.5
Maintainability (performance)
Under the given conditions, when the repairs are carried out using the procedures and resources described, the product is maintained or restored under the given conditions of use.
The ability to state the status of the feature.
[GB/T 2900.13-2008, definition 191-02-07]
3.6
Reliability model reliabilitymodel
A model established to assign, predict, analyze, or estimate the reliability of a product.
Note. Rewrite GB/T 2900.13-2008, define 191-16-02.
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