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Pseudo-Label Generation for Multi-Label Text Classification
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data, new and... -
Qualitative Event-based Diagnosis with Possible Conflicts Applied to...
Model-based diagnosis enables efficient and safe operation of engineered systems. In this paper, we describe two algorithms based on a qualitative event-based fault isolation... -
Anomaly Detection in Sequences
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... -
Bureau IT Leadership Directory
Each agency is expected to post a JSON file for their Bureau IT Leadership Directory. Each dataset should include one record for each agency employee with the title of “chief... -
DXC'10 Industrial Track Sample Data
Sample data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-... -
sequenceMiner algorithm
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... -
Model-Based Fault Detection and Diagnosis System for NASA Mars Subsurface...
The Drilling Automation for Mars Environment (DAME) project, led by NASA Ames Research Center, is aimed at developing a lightweight, low-power drill prototype that can be... -
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract. There has been... -
A Comparison of Three Data-driven Techniques for Prognostics
In situations where the cost/benefit analysis of using physics-based damage propagation algorithms is not favorable and when sufficient test data are available that map out the... -
A Local Scalable Distributed Expectation Maximization Algorithm for Large...
This paper describes a local and distributed expectation maximization algorithm for learning parameters of Gaussian mixture models (GMM) in large peer-to-peer (P2P)... -
Flight Data For Tail 668
The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: -sensor... -
Aviation Safety 2009 IVHM Presentations
IVHM Presentations -
Prognostic Techniques for Capacitor Degradation and Health Monitoring
This paper discusses our initial efforts in constructing physics of failure models for electrolytic capacitors subjected to electrical stressors in DC-DC power converters.... -
Discovery of Recurring Anomalies in Text Reports
This paper describes the results of a significant research and development effort conducted at NASA Ames Research Center to develop new text mining algorithms to discover... -
CDDIS_GNSS_products_orbit_rapid
Precise satellite orbits derived from analysis of Global Navigation Satellite System (GNSS) data. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS... -
Prognostication of Residual Life and Latent Damage Assessment in Lead-free...
Requirements for system availability for ultra-high reliability electronic systems such as airborne and space electronic systems are driving the need for advanced heath... -
Precipitation Measurement Missions Data Access
Tropical Rainfall Measuring Mission (TRMM) data products are currently available from 1998 to the present. Global Precipitation Measurement (GPM) mission data products are... -
A Reasoning Architecture for Expert Troubleshooting of Complex Processes
This paper introduces a novel reasoning methodology, in combination with appropriate models and measurements (data) to perform accurately and expeditiously expert... -
A Model-based Prognostics Approach Applied to Pneumatic Valves
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... -
Mining Distance-Based Outliers in Near Linear Time
Full title: Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule Abstract: Defining outliers by their distance to neighboring examples...