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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 different operational...
Search relevance: 1.00 | Views last month: 218 | Catalog Last Checked: October 06, 2025 at 03:59 AM -
**SPECIAL NOTE:** C-MAPSS and C-MAPSS40K ARE CURRENTLY UNAVAILABLE FOR DOWNLOAD. Glenn Research Center management is reviewing the availability requirements for these software packages. We...
Search relevance: 1.00 | Views last month: 57 | Catalog Last Checked: May 18, 2026 at 04:31 PM -
**Advanced Diagnostics and Prognostics Testbed (ADAPT) Project Lead: Scott Poll** **Subject** Fault diagnosis in electrical power systems **Description** The Advanced Diagnostics and...
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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 sources. Current...
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Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and financial...
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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 recordings of switch...
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A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of training examples---examples with known...
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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 function of aircraft...
Search relevance: 1.00 | Views last month: 11 | Catalog Last Checked: June 09, 2026 at 10:37 PM -
The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components, each of which must work...
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In summary, this paper lays out a novel battery health management technique for application onboard an electric UAV. This technique is also applicable to other electric vehicles, like electric...
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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 stored...
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Electrical power systems play a critical role in spacecraft and aircraft, and they exhibit a rich variety of failure modes. This paper discusses electrical power system fault diagnosis by means...
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A dynamical model describing the multi-stage process of rocket propellant loading has been developed. It accounts for both the nominal and faulty regimes of cryogenic fuel loading when liquid...
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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 how more detailed...
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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 regression to...
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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 highly complex...
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Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the...
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A reduced dynamical model describing temperature stratification effects driven by natural convection in a liquid hydrogen cryogenic fuel tank has been developed. It accounts for cryogenic...
Search relevance: 1.00 | Views last month: 8 | Catalog Last Checked: May 18, 2026 at 04:52 PM