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DISTRIBUTED ANOMALY DETECTION USING SATELLITE DATA FROM MULTIPLE MODALITIES
DISTRIBUTED ANOMALY DETECTION USING SATELLITE DATA FROM MULTIPLE MODALITIES KANISHKA BHADURI, KAMALIKA DAS, AND PETR VOTAVA** Abstract. There has been a tremendous increase in... -
Towards Modeling the Effects of Lightning Injection on Power MOSFETs
Power electronics are widely used in critical roles in modern day aircrafts and hence their health management is of great interest. An important part of prognostics and health... -
Mariana
The Mariana source code has been open sourced. Download the tar file Mariana.tgz below. I would love feedback. Mariana is an auto-classifier algorithm that efficiently optimizes... -
INTEXB_SATELLITE
INTEX-B Satellite data. -
Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation
This paper describes how damage propagation can be modeled within the modules of aircraft gas turbine engines. To that end, response surfaces of all sensors are generated via a... -
Improving Multiple Fault Diagnosability using Possible Conflicts
Multiple fault diagnosis is a difficult problem for dynamic systems. Due to fault masking, compensation, and relative time of fault occurrence, multiple faults can manifest in... -
Flight Data For Tail 660
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... -
CIO Governance Board Membership List
Each agency is expected to post a JSON file for their CIO Governance Board Membership List. -
Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators
Actuator systems are employed widely in aerospace, transportation and industrial processes to provide power to critical loads, such as aircraft control surfaces. They must... -
CDDIS_GNSS_products_positions
Weekly station positions and velocity solutions in Software INdependent EXchange (SINEX) format derived from analysis of Global Navigation Satellite System (GNSS) data. These... -
A Survey of Artificial Intelligence for Prognostics
Integrated Systems Health Management includes as key elements fault detection, fault diagnostics, and failure prognostics. Whereas fault detection and diagnostics have been the... -
Prognostics
Prognostics has received considerable attention recently as an emerging sub-discipline within SHM. Prognosis is here strictly defined as “predicting the time at which a... -
CDDIS_GNSS_products_clocks_final
Satellite and receiver clock products derived from analysis of Global Navigation Satellite System (GNSS) data. These products are the generated by analysis centers in support of... -
ANALYZING AVIATION SAFETY REPORTS: FROM TOPIC MODELING TO SCALABLE...
ANALYZING AVIATION SAFETY REPORTS: FROM TOPIC MODELING TO SCALABLE MULTI-LABEL CLASSIFICATION AMRUDIN AGOVIC, HANHUAI SHAN, AND ARINDAM BANERJEE* Abstract. The Aviation Safety... -
Improving Computational Efficiency of Prediction in Model-based Prognostics...
Model-based prognostics captures system knowledge in the form of physics-based models of components, and how they fail, in order to obtain accurate predictions of end of life... -
Sensor Validation using Bayesian Networks
One of NASA’s key mission requirements is robust state estimation. Sensing, using a wide range of sensors and sensor fusion approaches, plays a central role in robust state... -
HIRENASD FEM wing only HEX20
The finite element model being used by the AePW is based on the model provided at HIRENASD website The NASTRAN FEM's using HEXA solid elements and identified as... -
Flight Data For Tail 655
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... -
Prognostics of Power MOSFETs under Thermal Stress Accelerated Aging using...
An approach for predicting remaining useful life of power MOSFETs (metal oxide field effect transistor) devices has been developed. Power MOSFETs are semiconductor switching... -
A Survey of Metrics for Performance Evaluation of Prognostics
Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining...