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Featured White Papers
Securing Power Monitoring and Control Systems
By Chad Lloyd and Mathew Losey
Hacking critical control systems for power networks is increasingly making headlines as exemplified by power grid threats in the Ukraine and Israel in late 2015/early 2016. By applying best practices to power monitoring and control systems, security vulnerabilites can be reduced. This paper introduces the potential risks posed by hacking, identifies common system vulnerabilities, and provides strategies to mitigate against hacking. It does not, however, guarantee that it will prevent all future hacking.
How Predictive Maintenance for Circuit Breakers Optimizes Safety, Reliability, and Costs
By Markus Hirschbold
Circuit breakers require regular maintenance to ensure electrical safety, comply with safety regulations, and avoid costly facility downtime. Typically, this maintenance is performed at regular intervals, which do not account for usage patterns or environmental conditions. This paper explores how IoT and analytic technologies enable a condition-based, predictive approach that can increase levels of safety and reliability while tailoring maintenance to optimize costs.
Using Color Codes to Simplify Power Quality Analysis
By Vanya Ignatova
Even when power quality monitoring systems are in place, studies show users often have limited knowledge of power quality and its impact on equipment and installations. Thus, they may not fully understand, analyze and exploit power quality measurements. This paper introduces simple green-yellow-red (G-Y-R) indicators to gauge power quality issues; markers based on recognized power quality standards and statistical analysis, fully integrated in a power quality monitoring system. This paper also introduces a power quality rating that summarizes global power quality level within a facility.
A Framework for Implementing Continuous, Iterative Power Quality Management
By Vanya Ignatova and Chuck Hoeppner
Power quality problems are one of the major causes of unscheduled downtime and equipment malfunction and damage. This paper presents a power quality management framework–based on continuous and iterative monitoring, analysis and corrective actions– that improves power quality performance. The framework can be applied to standalone or integrated energy / power management programs and will result in reduced unexpected downtime, extended equipment lifetime, and improved operating conditions.