Estimation and Bias Correction of Aerosol Abundance using Data-driven Machine Learning and Remote Sensing

A Publication, Deniz Gencaga's Collection - 10 years, 11 months ago

Shared By: Deniz Gencaga

Abstract—Air quality information is increasingly becoming a public health concern, since some of the aerosol particles pose harmful effects to peoples health. One widely available ...

Towards Software Health Management with Bayesian Networks

A Publication, Ashok Srivastava's Collection - 10 years, 12 months ago

Shared By: Ashok Srivastava

As software and software intensive systems are becoming increasingly ubiquitous, the impact of failures can be tremendous. In some industries such as aerospace, medical devices, ...

Energy Analysis of Multi-Function Devices in an Office Environment

A Publication, Sustainability Base - 11 years, 1 month ago

Shared By: RODNEY MARTIN

As part of an effort to monitor electricity usage by plug loads in a new high performance office building, plug load management devices were deployed ...

Fault Adaptive Control of Overactuated Systems Using Prognostic Estimation

A Publication, Brian Bole's Collection - 11 years, 2 months ago

Shared By: Brian Bole

Most fault adaptive control research addresses the preservation of system stability or functionality in the presence of a specific failure (fault). This paper examines the ...

Adaptive Load-Allocation for Prognosis-Based Risk Management

A Publication, Brian Bole's Collection - 11 years, 2 months ago

Shared By: Brian Bole

It is an inescapable truth that no matter how well a system is designed it will degrade, and if degrading parts are not repaired or ...

Precursor Parameter Identification for Insulated Gate Bipolar Transistor (IGBT) Prognostics

A Publication, Jose Celaya Galvan's Collection - 11 years, 2 months ago

Shared By: Jose Celaya Galvan

Precursor parameters have been identified to enable development of a prognostic approach for insulated gate bipolar transistors (IGBT). The IGBT were subjected to thermal overstress ...

Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Abhinav Saxena

This paper introduces a novel Prognostics-enhanced Automated Contingency Management (or ACM+P) paradigm based on both current health state (diagnosis) and future health state estimates (prognosis) ...

Automated Contingency Management for Propulsion Systems

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Abhinav Saxena

Increasing demand for improved reliability and survivability of mission-critical systems is driving the development of health monitoring and Automated Contingency Management (ACM) systems. An ACM ...

Improving Multiple Fault Diagnosability using Possible Conflicts

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Matthew Daigle

Multiple fault diagnosis is a difficult problem for dynamic systems. Due to fault masking, compensation, and relative time of fault occurrence, multiple faults can manifest ...

A Comparison of Filter-based Approaches for Model-based Prognostics

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Matthew Daigle

Model-based prognostics approaches use domain knowledge about a system and its failure modes through the use of physics-based models. Model-based prognosis is generally divided into ...

Improving Diagnosability of Hybrid Systems through Active Diagnosis

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Matthew Daigle

Fault diagnosis is key to ensuring system safety through fault-adaptive control. This task is diffcult in hybrid systems with combined continuous and discrete behaviors because ...

An Event-based Approach to Hybrid Systems Diagnosability

A Publication, Prognostics CoE Publications - 11 years, 2 months ago

Shared By: Matthew Daigle

Diagnosability is an important issue in the design of diagnostic systems, because it helps identify whether sufficient information is available to distinguish all the faults. ...