Abstract
This paper describes a software toolbox (a software
library) designed for condition monitoring and diagnosis
of machines. This toolbox implements both new methods and
prior art and is aimed for practical down-to-earth data
analysis work. The target is to improve knowledge of the
operation and behaviour of machines and processes
throughout their entire life-cycles. The toolbox supports
different phases of condition based maintenance with
tools that extract essential information and automate
data processing. The paper discusses principles that have
guided toolbox design and the implemented toolbox
structure. Case examples are used to illustrate how
condition monitoring applications can be built using the
toolbox. In the first case study the toolbox is applied
to fault detection of industrial centrifuges based on
measured electrical current. The second case study
outlines an application for centralized monitoring of a
fleet of machines that supports organizational learning
| Original language | English |
|---|---|
| Article number | 012044 |
| Journal | Journal of Physics: Conference Series |
| Volume | 364 |
| DOIs | |
| Publication status | Published - 2012 |
| MoE publication type | A4 Article in a conference publication |
| Event | 25th International Congress on Condition Monitoring and Diagnostic Engineering, COMADEM 2012 - Huddersfield, United Kingdom Duration: 18 Jun 2012 → 20 Jun 2012 Conference number: 25 |
Funding
This paper is based on work carried out within the TOLKKU project in FIMECC EFFIMA program.
Keywords
- Condition monitoring
- diagnosis
- condition-based maintenance
- software
Fingerprint
Dive into the research topics of 'Tolkku: A toolbox for decision support from condition monitoring data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver