Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an ...

Sparse Machine Learning Methods for Understanding Large Text Corpora

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This ...

The Case for Software Health Management

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

Software Health Management (SWHM) is a new field that is concerned with the development of tools and technologies to enable automated detection, diagnosis, prediction, and ...

Space Shuttle Main Propulsion System Anomaly Detection: A Case Study

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components, ...

Greener Aviation with Virtual Sensors: A Case Study

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

The environmental impact of aviation is enormous given the fact that in the US alone there are nearly 6 million flights per year of commercial ...

HIRENASD analysis Information Package

A Publication, Aeroelastic Prediction Workshop - 11 years, 10 months ago

Shared By: JENNIFER HEEG

Updated November 2, 2011 Contains summary information and analysis condition details for the Aeroelastic Prediction Workshop Information plotted in this package is found in data ...

Discriminative Mixed-Membership Models

A Publication, Nikunj Oza's Collection - 12 years, 7 months ago

Shared By: Nikunj Oza

Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a ...

Algorithms for Speeding up Distance-Based Outlier Detection

A Publication, Scalable Outlier Detection on Very Large Datasets - 12 years, 9 months ago

Shared By: Kanishka Bhaduri

The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address this problem ...

Fleet Level Anomaly Detection of Aviation Safety Data

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 7 years, 10 months ago

Shared By: Santanu Das

For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. ...

Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators

A Publication, EDWARD BALABAN's Collection - 12 years, 11 months ago

Shared By: EDWARD BALABAN

Electro-Mechanical Actuators (EMA) are gaining prominent roles in the next generation fly-by-wire aircraft and spacecraft. With these roles often being safety-critical (control surface or landing ...