A Methodology for Proactive Maintenance of Uninterruptible Power Supplies

We propose a methodology for proactive maintenance of Uninterruptible Power Supply (UPS) devices based on online health-status monitoring and application of data analytics for prediction of UPS components' failures. The goals of the work are (i) improvement of reliability of UPS devices by ensuring prompt action prior to a failure of a component, and (ii) provision of more cost-effective maintenance by servicing the device only when required instead of periodically. Improving reliability of UPS'es also enhances dependability of critical infrastructures that require high quality power supply.

[1]  Miroslaw Malek,et al.  Prediction-Based Software Availability Enhancement , 2005, Self-star Properties in Complex Information Systems.

[2]  Vicente Carot,et al.  Criticality and sensitivity analysis of the components of a system , 2000, Reliab. Eng. Syst. Saf..

[3]  Miroslaw Malek,et al.  Optimizing Failure Prediction to Maximize Availability , 2016, 2016 IEEE International Conference on Autonomic Computing (ICAC).

[4]  T. Coyle,et al.  Reliability methods applied to The IEEE Gold Book Standard Network , 2003 .

[5]  Miroslaw Malek,et al.  Proactive Failure Management in Smart Grids for Improved Resilience: A Methodology for Failure Prediction and Mitigation , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[6]  Miroslaw Malek,et al.  A survey of online failure prediction methods , 2010, CSUR.