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.

The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

The purpose of the paper is to understand the developments of the Information Systems (IS) and Information technology, i.e. Information and Communication Technologies (ICTs) in the area of Condition Monitoring and Maintenance, especially e-maintenance. Therefore, the paper goes through and categorises the literature findings with the support of two models, i.e. the three era and the IS capability models to analyse and understand the maturity of the ICTs in the domain. The result shows that many researchers are working with software applications that are in the data processing era, which is highly important for the technologies and then the management of IS era. Conversely, both in the Management Information Systems and the Strategic Thinking era fewer findings have been made so far. Further on, in the fourth era, named the Information System (IS) capability, the research findings are mostly at the rudimentary stage. The implementation of Web technologies, such as the Web 2.0, i.e. Social media technologies, can facilitate the learning aspects in the maintenance department as well as collaboration between employees, which are important aspects of the last era, i.e. in the IS capability era. The paper highlights interesting organisational as well as ICT aspects that should be considered when planning, developing and implementing the e-maintenance IS.