7 papers
Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
Nazal Mohamed, Ayush Mohanty, Nagi Gebraeel
Networks of interdependent industrial assets (clients) are tightly coupled through physical processes and control inputs, raising a key question: how would the output of one client…
Learning Unknown Interdependencies for Decentralized Root Cause Analysis in Nonlinear Dynamical Systems
Ayush Mohanty, Paritosh Ramanan, Nagi Gebraeel
Root cause analysis (RCA) in networked industrial systems, such as supply chains and power networks, is notoriously difficult due to unknown and dynamically evolving interdependenc…
Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability
Ayse Tursucular, Ayush Mohanty, Nazal Mohamed +1
Networks of modern industrial systems are increasingly monitored by distributed sensors, where each system comprises multiple subsystems that generate high-dimensional time-series.…
Uncertainty Quantification in Federated Granger Causality Learning
Ayush Mohanty, Nazal Mohamed, Nagi Gebraeel
Granger causality identifies predictive dependencies in multivariate time series. In distributed settings where parties cannot share data, federated causal learning enables joint a…
Federated Granger Causality Learning for Interdependent Clients with State Space Representation
Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan +1
Advanced sensors and IoT devices have improved the monitoring and control of complex industrial enterprises. They have also created an interdependent fabric of geographically distr…
Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities
Ayush Mohanty, Jason Dekarske, Stephen K. Robinson +2
Robotic manipulators are critical in many applications but are known to degrade over time. This degradation is influenced by the nature of the tasks performed by the robot. Tasks w…
Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes
Benjamin Peters, Ayush Mohanty, Xiaolei Fang +2
Deep-space habitats (DSHs) are safety-critical systems that must operate autonomously for long periods, often beyond the reach of ground-based maintenance or expert intervention. M…