没有合适的资源?快使用搜索试试~ 我知道了~
EN 50663-2017.pdf
需积分: 19 8 下载量 77 浏览量
2020-12-02
23:24:08
上传
评论
收藏 1.76MB PDF 举报
温馨提示
试读
14页
EN 50663-2017 EN 50663-2017 EN 50663-2017
资源详情
资源评论
资源推荐
Generic standard for assessment of low
power electronic and electrical equipment
related to human exposure restrictions for
electromagnetic fields (10 MHz - 300 GHz)
BS EN 50663:2017
BSI Standards Publication
WB11885_BSI_StandardCovs_2013_AW.indd 1 15/05/2013 15:06
EUROPEAN STANDARD
NORME EUROPÉENNE
EUROPÄISCHE NORM
EN 50663
October 2017
ICS 17.240
English Version
Generic standard for assessment of low power electronic and
electrical equipment related to human exposure restrictions for
electromagnetic fields (10 MHz - 300 GHz)
Norme de produit pour l'évaluation de la conformité des
appareils électriques et électroniques de faible puissance
aux restrictions de base concernant l'exposition des
personnes aux champs électromagnétiques (10 MHz à 300
GHz)
Produktnorm für die Beurteilung der Übereinstimmung von
elektronischen und elektrischen Geräten kleiner Leistung
mit den Basisgrenzwerten für die Exposition von Personen
gegenüber elektromagnetischen Feldern (10 MHz bis 300
GHz)
This European Standard was approved by CENELEC on 2017-08-07. CENELEC members are bound to comply with the CEN/CENELEC
Internal Regulations which stipulate the conditions for giving this European Standard the status of a national standard without any alteration.
Up-to-date lists and bibliographical references concerning such national standards may be obtained on application to the CEN-CENELEC
Management Centre or to any CENELEC member.
This European Standard exists in three official versions (English, French, German). A version in any other language made by translation
under the responsibility of a CENELEC member into its own language and notified to the CEN-CENELEC Management Centre has the
same status as the official versions.
CENELEC members are the national electrotechnical committees of Austria, Belgium, Bulgaria, Croatia, Cyprus, the Czech Republic,
Denmark, Estonia, Finland, Former Yugoslav Republic of Macedonia, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia,
Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden,
Switzerland, Turkey and the United Kingdom.
European Committee for Electrotechnical Standardization
Comité Européen de Normalisation Electrotechnique
Europäisches Komitee für Elektrotechnische Normung
CEN-CENELEC Management Centre: Avenue Marnix 17, B-1000 Brussels
© 2017 CENELEC
A
ll rights of exploitation in any form and by any means reserved worldwide for CENELEC Members.
Ref. No. EN 50663:2017 E
National foreword
This British Standard is the UK implementation of EN 50663:2017.
The UK participation in its preparation was entrusted to Technical
Committee GEL/106, Human exposure to low frequency and high
frequency electromagnetic radiation.
A list of organizations represented on this committee can be obtained on
request to its secretary.
This publication does not purport to include all the necessary provisions
of a contract. Users are responsible for its correct application.
© The British Standards Institution 2017
Published by BSI Standards Limited 2017
ISBN 978 0 580 93887 0
ICS 17.240
Compliance with a British Standard cannot confer immunity from
legal obligations.
This British Standard was published under the authority of the
Standards Policy and Strategy Committee on 30 November 2017.
Amendments/corrigenda issued since publication
Date Text affected
BRITISH STANDARD
BS EN 50663:2017
EUROPEAN STANDARD
NORME EUROPÉENNE
EUROPÄISCHE NORM
EN 50663
October 2017
ICS 17.240
English Version
Generic standard for assessment of low power electronic and
electrical equipment related to human exposure restrictions for
electromagnetic fields (10 MHz - 300 GHz)
Norme de produit pour l'évaluation de la conformité des
appareils électriques et électroniques de faible puissance
aux restrictions de base concernant l'exposition des
personnes aux champs électromagnétiques (10 MHz à 300
GHz)
Produktnorm für die Beurteilung der Übereinstimmung von
elektronischen und elektrischen Geräten kleiner Leistung
mit den Basisgrenzwerten für die Exposition von Personen
gegenüber elektromagnetischen Feldern (10 MHz bis 300
GHz)
This European Standard was approved by CENELEC on 2017-08-07. CENELEC members are bound to comply with the CEN/CENELEC
Internal Regulations which stipulate the conditions for giving this European Standard the status of a national standard without any alteration.
Up-to-date lists and bibliographical references concerning such national standards may be obtained on application to the CEN-CENELEC
Management Centre or to any CENELEC member.
This European Standard exists in three official versions (English, French, German). A version in any other language made by translation
under the responsibility of a CENELEC member into its own language and notified to the CEN-CENELEC Management Centre has the
same status as the official versions.
CENELEC members are the national electrotechnical committees of Austria, Belgium, Bulgaria, Croatia, Cyprus, the Czech Republic,
Denmark, Estonia, Finland, Former Yugoslav Republic of Macedonia, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia,
Lithuania, Luxembourg, Malta, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden,
Switzerland, Turkey and the United Kingdom.
European Committee for Electrotechnical Standardization
Comité Européen de Normalisation Electrotechnique
Europäisches Komitee für Elektrotechnische Normung
CEN-CENELEC Management Centre: Avenue Marnix 17, B-1000 Brussels
© 2017 CENELEC
A
ll rights of exploitation in any form and by any means reserved worldwide for CENELEC Members.
Ref. No. EN 50663:2017 E
BS EN 50663:2017
剩余13页未读,继续阅读
饭勺
- 粉丝: 0
- 资源: 4
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 抽取地下水对加州约塞米蒂国家公园山地湿地复合体可持续性的影响
- C++vector介绍及详细使用示例(源代码)
- java基于GUI的简单记事本
- 指纹识别-基于OpenCV实现的指纹识别算法-附项目源码.zip
- 206693250008_R01C02_Grn.idat
- 瞳孔跟踪-基于OpenCV+网络摄像头的瞳孔跟踪算法实现-附项目源码+流程教程-优质项目分享.zip
- ModStartCMS v8.4.0 框架稳定性持续迭代,修复部分已知问题
- bleder 教室学校学生教育室办公室考试
- 人脸检测-使用OpenCV实现的动漫+漫画人脸检测算法-附项目源码-优质项目实战.zip
- 道路贴图,材质材料免费
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论0