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Novel Methods for Predicting Photometric Redshifts
We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All Sky Survey using... -
Application of Model Based Prognostics to Pneumatic Valves in a Cryogenic...
Pneumatic-actuated valves are critical components in many applications, including cryogenic propellant loading for space operations. For these components, failures need to be... -
Distributed Identification of Top-l Inner Product Elements and its...
Inner product computation is an important primitive used in many techniques for feature dependency detection, distance computation, clustering and correlation computation among... -
Entropy-based Probabilistic Fatigue Damage Prognosis and Algorithmic...
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-... -
stableGP
The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper... -
Probabilistic Fault Diagnosis in Electrical Power Systems
Electrical power systems play a critical role in spacecraft and aircraft. This paper discusses our development of a diagnostic capability for an electrical power system testbed,... -
Tracking Logistical Constraints Across Missions and Organizations: A...
execute plans and schedules that achieve stated goals while simultaneously minimizing the cost of logistics management and maximizing resource productivity. This goal is a... -
Privacy Preservation through Random Nonlinear Distortion
Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important patterns without revealing the... -
References: BSCW
Benchmark Supercritical Wing was also tested on the OTT with oscillations in Pitch. Only one row of pressure transducers were acquired during these tests. The time... -
Sparse Inverse Gaussian Process Regression with Application to Climate...
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. Gaussian Process regression... -
On Applying the Prognostic Performance Metrics
Prognostics performance evaluation has gained significant attention in the past few years. *As prognostics technology matures and more sophisticated methods for prognostic... -
An Approach to Prognostic Decision Making in the Aerospace Domain
The field of Prognostic Health Management (PHM) has been undergoing rapid growth in recent years, with development of increasingly sophisticated techniques for diagnosing faults... -
Assessment of Accrued Damage and Remaining Useful Life in Leadfree...
A method has been developed for prognostication of accrued prior damage in electronics subjected to overlapping sequential environments of thermal aging and thermal cycling. The... -
An Efficient Deterministic Approach to Model-based Prediction Uncertainty
Prognostics deals with the prediction of the end of life (EOL) of a system. EOL is a random variable, due to the presence of process noise and uncertainty in the future inputs... -
Accelerated Aging Experiments for Prognostics of Damage Growth in Composite Materials
Composite structures are gaining importance for use in the aerospace industry. Compared to metallic structures their behavior is less well understood. This lack of understanding... -
On-line intermittent connector anomaly detection
This paper investigates a non-traditional use of differential current sensor and current sensor to detect intermittent disconnection problems in connectors. An intermittent... -
Entropy-based probabilistic fatigue damage prognosis and algorithmic...
In this paper, a maximum entropy-based general framework for probabilistic fatigue damage prognosis is investigated. The proposed methodology is based on an underlying physics-... -
Adaptive Load-Allocation for Prognosis-Based Risk Management
It is an inescapable truth that no matter how well a system is designed it will degrade, and if degrading parts are not repaired or replaced the system will fail. Avoiding the... -
ADAPTIVE FAULT DETECTION ON LIQUID PROPULSION SYSTEMS WITH VIRTUAL SENSORS:...
Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System of the Space Shuttle using an adaptive...