Comparison of Unsupervised Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...

Comparative Analysis of Data-Driven Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 11 years, 2 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 ...

Novel Methods for Predicting Photometric Redshifts

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 11 years, 2 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 ...

Detection and Prognostics on Low Dimensional Systems

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...

Discovering System Health Anomalies using Data Mining Techniques

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both ...

Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 14 years, 6 months ago

Shared By: Bryan Matthews

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...

Multiple Kernel Learning based Heterogeneous Algorithm

A Publication, Santanu Das's Collection - 14 years, 5 months ago

Shared By: Santanu Das

Paper on this topic has been submitted to KDD 2010.

Methods for Probabilistic Fault Diagnosis: An EPS Case Study

A Publication, Ole Mengshoel's Collection - 14 years, 5 months ago

Shared By: Ole Mengshoel

Health management systems that more accurately and quickly diagnose faults that may occur in different technical systems on-board a vehicle will play a key role ...

Probabilistic Model-Based Diagnosis for Electrical Power Systems

A Publication, Ole Mengshoel's Collection - 14 years, 5 months ago

Shared By: Ole Mengshoel

We present in this article a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system, ...

Developing Large-Scale Bayesian Networks by Composition

A Publication, Ole Mengshoel's Collection - 14 years, 5 months ago

Shared By: Ole Mengshoel

In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale Bayesian networks ...

The ProADAPT System in the 2009 Diagnostic Challenge Competition

A Publication, Ole Mengshoel's Collection - 14 years, 5 months ago

Shared By: Ole Mengshoel

Reliable systems health management is an important research area of NASA. A health management system that can accurately and quickly diagnose faults in various on-board ...

Designing Resource-Bounded Reasoners using Bayesian Networks

A Publication, Ole Mengshoel's Collection - 14 years, 5 months ago

Shared By: Ole Mengshoel

In this work we are concerned with the conceptual design of large-scale diagnostic and health management systems that use Bayesian networks. While they are potentially ...