Towards Predictive Maintenance for Flexible Manufacturing Using FIWARE

Industry 4.0 has shifted the manufacturing related processes from conventional processes within one organization to collaborative processes across different organizations. For example, product design processes, manufacturing processes, and maintenance processes across different factories and enterprises. This complex and competitive collaboration requires the underlying system architecture and platform to be flexible and extensible to support the demands of dynamic collaborations as well as advanced functionalities such as big data analytics. Both operation and condition of the production equipment are critical to the whole manufacturing process. Failures of any machine tools can easily have impact on the subsequent value-added processes of the collaboration. Predictive maintenance provides a detailed examination of the detection, location and diagnosis of faults in related machineries using various analyses. In this context, this paper explores how the FIWARE framework supports predictive maintenance. Specifically, it looks at applying a data driven approach to the Long Short-Term Memory Network (LSTM) model for machine condition and remaining useful life to support predictive maintenance using FIWARE framework in a modular fashion

Terahertz Measurement of the Water Content Distribution in Wood Materials

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Baby Triple P for Parents of a Very Preterm Infant: A Case Study

© 2016 Springer Science+Business Media New York. The objective was to examine one family’s experience with the parenting intervention Baby Triple P for parents of a very preterm infant. The family was in the intervention group of a large randomized controlled trial. At baseline, 6-weeks corrected-age and 12-months corrected-age, both parents were assessed for depression as measured by the Edinburgh Postnatal Depression Scale and subjective stress as measured by the Impact of Event Scale. At 6-weeks corrected-age and 12-months corrected-age, the mother was assessed for maternal self-efficacy as measured by the Maternal Self-Efficacy Scale, attachment as measured by the Maternal Postnatal Attachment Scale, responsiveness as measured by the Maternal Infant Responsiveness Instrument, and the quality of the mother-infant relationship as measured by the Emotional Availability Scales. Results at baseline showed the mother was at risk for depression and was experiencing a moderate level of subjective stress, while the father was experiencing a mild level of subjective stress. After the Baby Triple P intervention, the mother’s Edinburgh Postnatal Depression Scale and Impact of Event Scale scores and the father’s Impact of Event Scale score had dropped to within the normal range at 6-weeks corrected-age, and were maintained at 12-months corrected-age. The mother also indicated she experienced greater levels of self-efficacy, attachment, responsiveness, and the quality of the relationship with her infant. Both parents rated that they were very satisfied with the Baby Triple P program on the Client Satisfaction Questionnaire. This study indicated that the Baby Triple P intervention may be beneficial for some families with a very preterm infant