Model-based Prognostics under Limited Sensing

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Prognostics is crucial to providing reliable condition-based maintenance decisions. To obtain accurate predictions of component life, a variety of sensors are often needed. However, it ...

Tackling Verification and Validation for Prognostics

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Verification and validation (V&V;) has been identified as a critical phase in fielding systems with Integrated Systems Health Management (ISHM) solutions to ensure that the ...

Improving Computational Efficiency of Prediction in Model-based Prognostics Using the Unscented Transform

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end ...

Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Prognostics technologies determine the health (or damage) state of a component or subsystem, and make end of life (EOL) and remaining useful life (RUL) predictions. ...

A Model-based Prognostics Approach Applied to Pneumatic Valves

A Publication, Prognostics CoE Publications - 12 years, 3 months ago

Shared By: Matthew Daigle

Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the ...

Classification of Aeronautics System Health and Safety Documents

A Publication, Nikunj Oza's Collection - 11 years, 1 month ago

Shared By: Nikunj Oza

Most complex aerospace systems have many text reports on safety, maintenance, and associated issues. The Aviation Safety Reporting System (ASRS) spans several decades and contains ...

Towards Software Health Management with Bayesian Networks

A Publication, Ashok Srivastava's Collection - 10 years, 1 month ago

Shared By: Ashok Srivastava

More and more systems such as aircraft, machinery, and cars rely heavily on software, which performs safety-critical operations. Assuring software safety though traditional V&V; has ...

Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery

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

Shared By: Ashok Srivastava

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression is ...

Privacy Preservation through Random Nonlinear Distortion

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

Shared By: Ashok Srivastava

Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important ...

Trajectory Clustering with Applications to Airspace Monitoring

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

Shared By: Ashok Srivastava

This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned ...

Efficient Keyword-Based Search for Top-K Cells in Text Cube

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

Shared By: Ashok Srivastava

Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a set of joined tuples) that are relevant to a given keyword ...

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 ...