Found 80 datasets matching "anomaly detection".
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The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files.
Search relevance: 176.39 | Views last month: 1 -
A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a...
Search relevance: 152.50 | Views last month: 0 -
Dataset includes stabilograms associated to a cellular communications anomaly detection experiment detailed in the publication Frey M, Gregg M, Rezac JD, Coder JB, Kord A, Otterstetter A, Quimby...
Search relevance: 148.68 | Views last month: 0 -
Anomaly detection has recently become an important problem in many industrial and financial applications. In several instances, the data to be analyzed for possible anomalies is located at...
Search relevance: 148.25 | Views last month: 1 -
Dataset includes stabilograms associated to a cellular communications anomaly detection experiment detailed in the publication Frey M, Gregg M, Rezac JD, Coder JB, Kord A, Otterstetter A, Quimby...
Search relevance: 146.05 | Views last month: 1 -
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 subscale Solid Rocket Motor...
Search relevance: 139.48 | Views last month: 2 -
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 of Integrated...
Search relevance: 138.63 | Views last month: 1 -
Title: Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring. Abstract: This article describes the results of applying four unsupervised anomaly detection...
Search relevance: 137.95 | Views last month: 1 -
A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the same way. For example, a fleet of delivery trucks may consist...
Search relevance: 136.27 | Views last month: 6 -
In performance maintenance in large, complex systems, sensor information from sub-components tends to be readily available, and can be used to make predictions about the system's health and...
Search relevance: 136.10 | Views last month: 3 -
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. The NAS is a highly complex...
Search relevance: 128.41 | Views last month: 17 -
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 from recordings of switch...
Search relevance: 126.36 | Views last month: 0 -
PROBABILITY CALIBRATION BY THE MINIMUM AND MAXIMUM PROBABILITY SCORES IN ONE-CLASS BAYES LEARNING FOR ANOMALY DETECTION GUICHONG LI, NATHALIE JAPKOWICZ, IAN HOFFMAN, R. KURT UNGAR ABSTRACT....
Search relevance: 124.70 | Views last month: 0 -
In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector...
Search relevance: 117.91 | Views last month: 0 -
DISTRIBUTED ANOMALY DETECTION USING SATELLITE DATA FROM MULTIPLE MODALITIES KANISHKA BHADURI*, KAMALIKA DAS**, AND PETR VOTAVA*** Abstract. There has been a tremendous increase in the...
Search relevance: 115.37 | Views last month: 0 -
Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length,...
Search relevance: 107.79 | Views last month: 0 -
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 commercial aircraft record several hundred...
Search relevance: 104.05 | Views last month: 1 -
Overview: ReADS can analyze text reports, such as aviation reports and problem or maintenance records. ReADS uses text clustering algorithms to group loosely related reports and documents,...
Search relevance: 99.54 | Views last month: 0 -
Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem that we address in this...
Search relevance: 99.30 | Views last month: 2
