Condition monitoring is a crucial task for electromechanical system reliability and quality enhancement, which leads to early electrical and mechanical faults detection.
The objective of this research is to develop an innovative mHealth system to support self-skincare tasks, skin condition monitoring, adherence to self-care regimens, skincare consultation, and secure two-way communications between patients and clinicians.
This document is fundamental for ensuring sound performance and safety of the TBS during ITER's operational phase and shall include, amongst others, relevant information on: maintenance organization, preventive and corrective maintenance task procedures, condition monitoring for key components, maintenance work planning, and a spare parts plan, just to mention some of the key topics.
The accurate assessment of remaining useful life based on condition monitoring variables is not a trivial task, since long-term trends are often obscured by short-term fluctuations.
Beside the standardized assessment of the patients' health condition, drug history and falls prevention, predominantly monitoring tasks e.g. measuring blood pressure and blood glucose were delegated.
In order to support self-skincare tasks, the SkinCare app requires three main functions: (1) self-care task schedule and reminders, (2) skin condition monitoring and communications that include imaging, information about the skin problem, and consultation with clinician, and (3) secure two-way messaging between the patient and clinician (wellness coordinator).
Calibrated energy models can be used for several specific tasks in the operation phase, in particular condition monitoring, fault detection and diagnosis, supervisory control and energy management.
Unfortunately, CPS and Condition Monitoring System development is challenging due to the distribution of computational tasks among heterogeneous industrial IT-architectures.
Cutting force information may be used for several tasks, such as tool design and trajectory optimization, tool condition monitoring, machinability testing and many others.
