Prognostics and health management (PHM) plays a constructive role in the equipment's
entire life health service. It has long benefited from intensive research into physics modeling …

Unveiling feeder topologies from data is of paramount importance to advance situational
awareness and proper utilization of smart resources in power distribution grids. This tutorial …

The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …

Process systems are characterized by nonlinearity, uncertainty, large scales, and also the
need of pursuing both safety and economic optimality in operations. As a result they are …

In this article, we present a novel approach to reconstruct the topology of networked linear
dynamical systems with latent nodes. The network is allowed to have directed loops and bi …

High impedance faults (HIFs) in distribution grids may cause wildfires and threaten human
lives. Conventional protection relays at substations fail to detect more than 10% HIFs since …

In this article, the optimal sample complexity of learning the underlying interactions or
dependencies of a Linear Dynamical System (LDS) over a Directed Acyclic Graph (DAG) is …

This paper explores the application of causal discovery frameworks to infer the topology of
industrial chemical processes, which is crucial for operational decision-making and system …

At present, network model is a general framework for the representation of complex system,
and its structure is the fundamental and prerequisite for control and other applications of …

This article addresses the problem of reconstructing the topology of a network of agents
interacting via linear dynamics, while being excited by exogenous stochastic sources that …