BS EN IEC 61857-32:2019
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Electrical insulation systems. Procedures for thermal evaluation – Multifactor evaluation with increased factors during diagnostic testing
| Published By | Publication Date | Number of Pages |
| BSI | 2019 | 24 |
This part of the 61857 series is focused on applications where other possible factors need to be incorporated to evaluate any influence on the performance of the electrical insulation system (EIS). Multi-factor evaluation is the most complex type of project to design and conduct. Clear guidelines are needed to give the user of this document a uniform approach and a method to analyse the test results.
This document is for applications where the stresses are some combination of other factors of influence identified in IEC 60505 . The multi-factor stresses are applied during the diagnostic portion of each test cycle.
A few examples of other factors of influence or multi-factor stresses are:
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high vibration;
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submersion in oils, water, or solutions;
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voltage higher than the test voltage of the reference EIS;
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decreased cold shock temperature.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | undefined |
| 5 | Annex ZA(normative)Normative references to international publicationswith their corresponding European publications |
| 7 | English CONTENTS |
| 8 | FOREWORD |
| 10 | INTRODUCTION |
| 11 | 1 Scope 2 Normative references 3 Terms and definitions |
| 12 | 4 Procedure 5 Test objects 6 EIS evaluation Figures Figure 1 – Overview |
| 13 | 7 Part 1: Baseline structure 7.1 General 7.2 Illustration of the structure – Thermal evaluation |
| 14 | 7.3 Example of thermal evaluation of a candidate EIS Figure 2 – Illustration of the establishment of the thermal classificationof the candidate EIS Tables Table 1 – Example of a reference EIS and candidate EIS; performanceat temperature and thermal classification |
| 15 | 8 Part 2: Evaluation of other factors 8.1 General 8.2 Selection of the ageing temperature for the one-temperature comparison Table 2 – Example of ageing temperature selection forthe one-temperature comparison |
| 16 | 8.3 Application of increased or additional diagnostic factors 9 Analysis of data 9.1 General 9.2 Evaluation of the other factors of influence 9.3 Comparison of the results is between the baseline EIS and any of the sets of results for other factors of influence |
| 17 | 10 Report |
| 18 | Bibliography |
| 19 | Annex A (informative) Example of a test data sheet report Table A.1 – Example of a test data sheet |
| 20 | Annex B (informative)Example of thermal ageing data for the reference EIS – Establishing the correlation time Figure B.1 – Reference data with the known temperature of 186 °C,time coordinate established at 45 200 h |
| 21 | Annex C (informative)Example of a test data sheet for a baseline candidatethermal classification Table C.1 – Example of a test data sheet for a baseline candidate |
| 22 | Annex D (informative)Establishing the thermal endurance of the baseline candidateusing the reference correlation time Figure D.1 – Baseline candidate data with the known thermal index of 161 °Cwhen the time coordinate from the reference is 45 200 hours |
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BS EN IEC 61857-32:2019
Electrical insulation systems. Procedures for thermal evaluation – Multifactor evaluation with increased factors during diagnostic…
