Field Data Logger Prototype for Power Converters

Sanjay Chaudhary; Pramod Ghimire; Paul Bach Thøgersen; Peter de Place Rimmen

doi:10.1109/PEDES.2014.7042058

Field Data Logger Prototype for Power Converters

Sanjay Chaudhary, Pramod Ghimire, Paul Bach Thøgersen, Peter de Place Rimmen

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

Mission profile data is very important for the cost effective and reliable design of power converters. The converter design can be improved on the basis of actual field data. Actual mission profile data can be collected for the power converters using field data loggers over a long period of time and subsequent analysis of the data. This paper presents the development of a low cost prototype field data logger prototype using Raspberry PI and industrial sensors. The functionalities of the data logger prototype are described. An online rainflow count algorithm has been implemented as well.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
Number of pages	4
Publisher	IEEE Press
Publication date	Dec 2014
ISBN (Print)	978-1-4799-6373-7
DOIs	https://doi.org/10.1109/PEDES.2014.7042058
Publication status	Published - Dec 2014
Event	2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) - Mumbai, India Duration: 16 Dec 2014 → 19 Dec 2014

Conference

Conference	2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
Country/Territory	India
City	Mumbai
Period	16/12/2014 → 19/12/2014

Keywords

Accelerometer
Design for reliability
Field data logger
Mission profile
Rainflow count
Temperature and humidity sensor

Access to Document

10.1109/PEDES.2014.7042058

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7042058

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Cite this

@inproceedings{c97441bb977b4f93a3f09e07d9fef99a,

title = "Field Data Logger Prototype for Power Converters",

abstract = "Mission profile data is very important for the cost effective and reliable design of power converters. The converter design can be improved on the basis of actual field data. Actual mission profile data can be collected for the power converters using field data loggers over a long period of time and subsequent analysis of the data. This paper presents the development of a low cost prototype field data logger prototype using Raspberry PI and industrial sensors. The functionalities of the data logger prototype are described. An online rainflow count algorithm has been implemented as well.",

keywords = "Accelerometer, Design for reliability, Field data logger, Mission profile, Rainflow count, Temperature and humidity sensor",

author = "Sanjay Chaudhary and Pramod Ghimire and Th{\o}gersen, {Paul Bach} and {de Place Rimmen}, Peter",

year = "2014",

month = dec,

doi = "10.1109/PEDES.2014.7042058",

language = "English",

isbn = "978-1-4799-6373-7",

booktitle = "Proceedings of the 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)",

publisher = "IEEE Press",

note = "2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) ; Conference date: 16-12-2014 Through 19-12-2014",

}

Chaudhary, S, Ghimire, P, Thøgersen, PB & de Place Rimmen, P 2014, Field Data Logger Prototype for Power Converters. in Proceedings of the 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE Press, 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Mumbai, India, 16/12/2014. https://doi.org/10.1109/PEDES.2014.7042058

Field Data Logger Prototype for Power Converters. / Chaudhary, Sanjay; Ghimire, Pramod; Thøgersen, Paul Bach et al.
Proceedings of the 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE Press, 2014.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Field Data Logger Prototype for Power Converters

AU - Chaudhary, Sanjay

AU - Ghimire, Pramod

AU - Thøgersen, Paul Bach

AU - de Place Rimmen, Peter

PY - 2014/12

Y1 - 2014/12

N2 - Mission profile data is very important for the cost effective and reliable design of power converters. The converter design can be improved on the basis of actual field data. Actual mission profile data can be collected for the power converters using field data loggers over a long period of time and subsequent analysis of the data. This paper presents the development of a low cost prototype field data logger prototype using Raspberry PI and industrial sensors. The functionalities of the data logger prototype are described. An online rainflow count algorithm has been implemented as well.

AB - Mission profile data is very important for the cost effective and reliable design of power converters. The converter design can be improved on the basis of actual field data. Actual mission profile data can be collected for the power converters using field data loggers over a long period of time and subsequent analysis of the data. This paper presents the development of a low cost prototype field data logger prototype using Raspberry PI and industrial sensors. The functionalities of the data logger prototype are described. An online rainflow count algorithm has been implemented as well.

KW - Accelerometer

KW - Design for reliability

KW - Field data logger

KW - Mission profile

KW - Rainflow count

KW - Temperature and humidity sensor

U2 - 10.1109/PEDES.2014.7042058

DO - 10.1109/PEDES.2014.7042058

M3 - Article in proceeding

SN - 978-1-4799-6373-7

BT - Proceedings of the 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

PB - IEEE Press

T2 - 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

Y2 - 16 December 2014 through 19 December 2014

ER -

Field Data Logger Prototype for Power Converters

Abstract

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Keywords

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