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Li-ion Battery Aging Datasets
This data set has been collected from a custom built battery prognostics testbed at the NASA Ames Prognostics Center of Excellence (PCoE). Li-ion batteries were run through 3... -
Predicting Battery Life for Electric UAVs
This paper presents a novel battery health management technology for the new generation of electric unmanned aerial vehicles powered by long-life, high-density, scalable power... -
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An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries
Prognostics is an emerging science of predicting the health condition of a system (or its components) based upon current and previous system states. A reliable predictor is very... -
C-MAPSS Aircraft Engine Simulator Data
SPECIAL NOTE: C-MAPSS and C-MAPSS40K ARE CURRENTLY UNAVAILABLE FOR DOWNLOAD. Glenn Research Center management is reviewing the availability requirements for... -
An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to state... -
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a... -
Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework
This paper presents an empirical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of the model has... -
Towards Prognostics of Electrolytic Capacitors
A remaining useful life prediction algorithm and degradation model for electrolytic capacitors is presented. Electrolytic capacitors are used in several applications ranging... -
Prognostics in Battery Health Management
Batteries represent complex systems whose internal state vari- ables are either inaccessible to sensors or hard to measure un- der operational conditions. This work exemplifies... -
Flight Data For Tail 687
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 Data-Driven And Model-Based Methodologies
An approach for predicting remaining useful life of power MOSFETs (metal oxide field effect transistor) devices has been developed. Power MOSFETs are semiconductor switching... -
Health Monitoring and Prognostics for Computer Servers
Abstract Prognostics solutions for mission critical systems require a comprehensive methodology for proactively detecting and isolating failures, recommending... -
Identification of Spatial Fault Patterns in Semiconductor Wafers
Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and... -
Fleet Level Anomaly Detection of Aviation Safety Data
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... -
Health-Management Driven Control Reconfiguration Approach for Flight Vehicles
A prognostic system makes it possible to anticipate loss of functionality before it occurs with sufficient lead time to take actions that mitigate the impact of this loss. We... -
Comparison of Prognostic Algorithms for Estimating Remaining Useful Life of Batteries
We were interested here in particular in conditions where un-modeled effects are present as manifested by the different degradation curve at 45°C. Although all algorithms were... -
Prognostics of Power MOSFET
This paper demonstrates how to apply prognostics to power MOSFETs (metal oxide field effect transistor). The methodology uses thermal cycling to age devices and Gaussian process... -
FLTz
This data set is a simulated data set based on the flight simulator "FLTz" used by the Intelligent Flight Control (IFC) group at NASA ARC. Flights were preprogrammed to fly...
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