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In this paper, stochastic models for fault detection in industrial automation processes are investigated. Thereby, nonlinear, time-variant systems are considered. The basic idea consists in building a probability distribution model and evaluating the likelihood of observations under that model. In contrast to the existing methods, this paper considers the practically important case in which measurement...
The architecture of an Advanced Metering Infrastructure with Device Level Load Monitoring (AMI-DLLM) is proposed in this paper. The AMI-DLLM architecture is an upgrade from currently available Advanced Metering Infrastructure (AMI) that is enabled by large-scale smart meter rollouts under National Smart Metering Program (NSMP) across Australia. Potentials of such massive volume of demand side data...
Wireless sensor networks are widely deployed in different industrial applications. Fault diagnosis of sensors is essential for maintaining a robust WSN operation. In this paper, we show faulty sensors diagnosis can be transformed into a pattern classification problem. We also introduce an efficient algorithm, called, Neighborhood Hidden Conditional Random Field, to recognize sensor states and the...
Safe human-machine interactions promote high flexibility in collaborative workspaces. Fall detection and localization of the operator are major issues in ensuring a safe working environment. However, many proposed solutions are not applicable for deployment in industrial environments due to their performance limitations in practical contexts. In this paper, we propose an integrated framework for both...
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