Curated 4 Class Anomaly Detection Data Set

A Dataset, Sample Flight Data - 1 year, 11 months ago

Shared By: Bryan Matthews

This data contains a 160 second window snapshot of ~99K flights on final approach when the flights are crossing 1,000 ft before touchdown. There are ...

Simultaneous Analysis of Multiple Big Data Networks: Graph-Mapping in a Data Model

A Publication, Big data: simultaneous Multi-Graph network analysis - 4 years, 11 months ago

Shared By: Ahmad karawash

Temp

A Publication, Dash-link-Dir - 5 years, 4 months ago

Shared By: Ricky Vargas

Testing the Dash link website at the current moment.

2018 PHM Data Challenge

A Dataset, PHM Data Challenges - 5 years, 11 months ago

Shared By: Kai Goebel

This data set examines the fault behavior of an ion mill etch tool used in a wafer manufacturing process (see references at the end of ...

Collaborative Life Sciences TEM May 31, 2018

Other, NASA Space LIfe Sciences Data TEM - 6 years, 5 months ago

Shared By: Alan Wood

Space Life Sciences Research - Data & Biosample Archiving Shared data/metadata, methods, goals, user strategies & challenges.

Gearbox Fault Detection Dataset, PHM Data Challenge 2009

A Dataset, PHM Data Challenges - 7 years ago

Shared By: Kai Goebel

This PHM Data Challenge is focused on fault detection and magnitude estimation for a generic gearbox using accelerometer data and information about bearing geometry. Scoring ...

NASA Space Radiation Lab Resource

Other, NASA Space Radiation Lab Forum - 7 years, 2 months ago

Shared By: WILLIAM MCDERMOTT

Life Science Data TEM Jan 2016 As-run Presentations

Other, NASA Space LIfe Sciences Data TEM - 6 years, 5 months ago

Shared By: Alan Wood

22 files, presentations that were delivered on Jan 14-15, 2016.

Anomaly Detection in Aviation Data using Extreme Learning Machines

A Publication, Fast anomaly detection - 7 years, 11 months ago

Shared By: Vijay Manikandan Janakiraman

We develop fast anomaly detection algorithms using extreme learning machines (ELM) to discover operationally significant anomalies in large aviation data sets. Anomaly detection (aka one-class ...

Discovery of Precursors to Adverse Events using Time Series Data

A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 4 months ago

Shared By: Vijay Manikandan Janakiraman

We develop an algorithm for automatic discovery of precursors in time series data (ADOPT). In a time series setting, a precursor may be considered as ...

Identifying Precursors to Anomalies Using Inverse Reinforcement Learning

A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years, 8 months ago

Shared By: Vijay Manikandan Janakiraman

In this paper, we consider the problem of discovering candidate precursors to anomalies in a set of time sequenced data. Typical scenarios involving time sequential ...

Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building

A Publication, Sustainability Base - 8 years, 9 months ago

Shared By: RODNEY MARTIN

Modeling occupant behavior in smart buildings to reduce energy usage in a more accurate fashion has garnered much recent attention in the literature. Predicting occupant ...

Scalable Causal Learning for Predicting Adverse Events in Smart Buildings

A Publication, Sustainability Base - 8 years, 9 months ago

Shared By: RODNEY MARTIN

Emerging smart buildings, such as the NASA Sustainability Base (SB), have a broad range of energy-related systems, including systems for heating and cooling. While the ...

Data from Sustainability Base Characterizing Hot Water Pump Differential Pressure Spikes for ACCEPT

A Dataset, Sustainability Base - 8 years, 10 months ago

Shared By: RODNEY MARTIN

During the heating season in Sustainability Base, a critical alarm associated with a hot water pump circulating heating water for the radiative system which exchanges ...