Anomaly Detection from ASRS Databases of Textual Reports

Other, Kanishka Bhaduri's Collection - 14 years, 6 months ago

Shared By: Kanishka Bhaduri

Our primary goal is to automatically analyze textual reports from the Aviation Safety Reporting System (ASRS) database to detect/discover the anomaly categories reported by the ...

Multiple Kernel Learning based Heterogeneous Algorithm

A Publication, Santanu Das's Collection - 14 years, 6 months ago

Shared By: Santanu Das

Paper on this topic has been submitted to KDD 2010.

sequenceMiner algorithm

An Algorithm, Suratna Budalakoti's Collection - 14 years, 5 months ago

Shared By: Suratna Budalakoti

Detecting and describing anomalies in large repositories of discrete symbol sequences. sequenceMiner has been open-sourced! Download the file below to try it out. sequenceMiner was ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

Comparative Analysis of Data-Driven Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a ...

Unsupervised Anomaly Detection for Liquid-Fueled Rocket Prop...

A Publication, MARK SCHWABACHER's Collection - 14 years, 6 months ago

Shared By: MARK SCHWABACHER

Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four unsupervised anomaly detection algorithms to data ...

Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Kanishka Bhaduri's Collection - 14 years, 4 months ago

Shared By: Kanishka Bhaduri

Ares I-X Ground Diagnostic Prototype

A Publication, Ares I-X Ground Diagnostic Prototype - 14 years, 6 months ago

Shared By: MARK SCHWABACHER

The automation of pre-launch diagnostics for launch vehicles offers three potential benefits: improving safety, reducing cost, and reducing launch delays. The Ares I-X Ground Diagnostic ...

ADAPTIVE FAULT DETECTION ON LIQUID PROPULSION SYSTEMS WITH VIRTUAL SENSORS: ALGORITHMS AND ARCHITECTURES

A Publication, Bryan Matthews's Collection - 14 years, 6 months ago

Shared By: Bryan Matthews

Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System ...

Propulsion Health Monitoring of a Turbine Engine Disk using Spin Test Data

A Publication, Disk Defect Data - 12 years ago

Shared By: Nikunj Oza

On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to increase ...

MKAD (Open Sourced Code)

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 5 years, 9 months ago

Shared By: Bryan Matthews

The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization ...

Fleet Level Anomaly Detection of Aviation Safety Data

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 8 years, 8 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. ...

Algorithms for Speeding up Distance-Based Outlier Detection

A Publication, Scalable Outlier Detection on Very Large Datasets - 13 years, 7 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 ...

Space Shuttle Main Propulsion System Anomaly Detection: A Case Study

A Publication, Ashok Srivastava's Collection - 11 years, 3 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, ...