Abstract
This paper discusses the integration of emergent ICTs, such as the Internet of Things (IoT), the Arrowhead Framework, and the best practices from the area of condition monitoring and maintenance. These technologies are applied, for instance, for roller element bearing fault diagnostics and analysis by simulating faults. The authors first undertook the leading industry standards for condition-based maintenance (CBM), i.e., open system architecture–condition-based maintenance (OSA–CBM) and Machinery Information Management Open System Alliance (MIMOSA), which has been working towards standardizing the integration and interchangeability between systems. In addition, this paper highlights the predictive health monitoring methods that are needed for an effective CBM approach. The monitoring of industrial machines is discussed as well as the necessary details are provided regarding a demonstrator built on a metal sheet bending machine of the Greenbender family. Lastly, the authors discuss the benefits of the integration of the developed prototypes into a service-oriented platform, namely the Arrowhead Framework, which can be instrumental for the remotization of maintenance activities, such as the analysis of various equipment that are geographically distributed, to push forward the grand vision of the servitization of predictive health monitoring methods for large-scale interoperability.
Highlights
The need for the development of new technologies in the modern world emanates from the emerging requirements foo society and the market
The analytics activities needed for condition-based maintenance (CBM) need to be executed in a computing center or on the cloud, and most implementations have to create their own solution to move the data from the factory to where the data can be used; our work aims to demonstrate how to allow this by means of the Arrowhead Framework
This paper demonstrates its validation in a number of test cases within a concrete application scenario in the domain of ambient assisted living (AAL)
Summary
The need for the development of new technologies in the modern world emanates from the emerging requirements foo society and the market. There are a number of frameworks as well as programming languages that can provide benefits, since they were used by the community to develop both general purpose and specialized solutions to tackle many use cases that comprise machine learning and CBM One example of these languages is Python, whose mature codebase brings new aspects into the developments of these maintenance tools, like, for instance, lower development costs. In most cases, it is hard for a new company to design a CBM solution since its design, implementation, and deployment all require considerable effort; as discussed previously, by focusing on open source technologies, mainstream programming languages and well accepted software architectures, it is possible to lower the entrance barrier of new actors in the industry.
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