scholarly journals Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring

2013 ◽  
Vol 118 (20) ◽  
pp. 11,664-11,678 ◽  
Author(s):  
Changyong Cao ◽  
Jack Xiong ◽  
Slawomir Blonski ◽  
Quanhua Liu ◽  
Sirish Uprety ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Sensor Data ◽  
Data Record ◽  
Long Term Performance ◽  
Term Performance

scholarly journals Correction to “Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring”

2014 ◽  
Vol 119 (8) ◽  
pp. 4873-4873 ◽  
Author(s):  
C. Cao ◽  
J. Xiong ◽  
S. Blonski ◽  
Q. Liu ◽  
S. Uprety ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Sensor Data ◽  
Data Record ◽  
Long Term Performance ◽  
Term Performance

scholarly journals Experimental and Numerical Examination of Naturally-Aged Foam-VIP Composites

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2539 ◽  
Author(s):  
Kaushik Biswas ◽  
Rohit Jogineedi ◽  
Andre Desjarlais
Keyword(s):  
Performance Monitoring ◽  
Numerical Models ◽  
Test Facility ◽  
Exposure Test ◽  
Rigid Foam ◽  
Study Results ◽  
Long Term Performance ◽  
Term Performance ◽  
Thermal Conductivities

This article describes an aging study of a foam-vacuum insulation panel (VIP) composite insulation board installed on a test wall in a natural exposure test facility through a 30-month period. Silica-based VIPs with a polymeric barrier film were used in this study. The study results showed the effectiveness of a VIP-based insulation to reduce the heat gains and losses through a wall compared to regular rigid foam insulation of the same thickness. However, the long-term performance monitoring indicated a gradual decline in the thermal performance of the foam-VIP composite. In addition, one-dimensional numerical models were created to simulate the in situ behavior of the foam-VIP composite. One model utilized constant thermal conductivities of the test wall components and another utilized temperature-dependent thermal conductivities; the latter used measurements of conductivity over temperatures ranging from −15 to 55 °C. The results of the simulations emphasized the need to use both temperature and time-dependent material properties for accurately predicting the long-term performance of VIP-based insulation systems.

Web-Based Data Management System for Long-Term Performance Monitoring and Stewardship of a Low-Level Radioactive Waste Disposal Facility

2003 ◽  
Author(s):  
Craig H. Benson ◽  
Robert J. Tipton ◽  
Uday Kumthekar ◽  
J. D. Chiou
Keyword(s):  
Radioactive Waste ◽  
Performance Monitoring ◽  
Radioactive Waste Disposal ◽  
Data Management System ◽  
Web Based ◽  
Disposal Facility ◽  
Long Term Performance ◽  
Term Performance ◽  
Low Level Radioactive Waste

A web-based data management system is described that is being used for long-term performance monitoring and stewardship of a low-level radioactive waste disposal facility (LLRWDF) at the Fernald Closure Project (FCP) in Fernald, Ohio, USA. The system provides integrated data collection and management for monitoring performance of the liner and cover systems in the LLRWDF. Integrated performance monitoring data (meteorological, hydrological, geophysical, ecological, leachate flow, and leachate quality data) are presented and compared with performance criteria and action levels in near real-time. A status summary is also included for the site manager, regulators, and other stakeholders to provide an early warning regarding the need for corrective action.

Long-term performance monitoring of hardwood timber bridges in Pennsylvania

2004 ◽  
Author(s):  
James P. Wacker ◽  
Carlito Calil ◽  
Lola E. Hislop ◽  
Paula D. Hilbrich Lee ◽  
James A. Kainz
Keyword(s):  
Performance Monitoring ◽  
Long Term Performance ◽  
Term Performance ◽  
Timber Bridges

scholarly journals NOAA-20 and S-NPP VIIRS Thermal Emissive Bands On-Orbit Calibration Algorithm Update and Long-Term Performance Inter-Comparison

2021 ◽  
Vol 13 (3) ◽  
pp. 448
Author(s):  
Wenhui Wang ◽  
Changyong Cao
Keyword(s):  
Bias Correction ◽  
Infrared Imaging ◽  
Sensor Data ◽  
Warm Up ◽  
User Communities ◽  
Calibration Algorithm ◽  
Long Term Performance ◽  
Cross Track ◽  
Term Performance

The Visible Infrared Imaging Radiometer Suite (VIIRS) on board the National Oceanic and Atmospheric Administration-20 (NOAA-20) and the Suomi National Polar-orbiting Partnership Program (S-NPP) satellites were launched in late 2017 and 2011, respectively. This paper presents a recent update in the VIIRS thermal emissive bands (TEB) on-orbit calibration algorithm and inter-compares long-term instrument and TEB sensor data records (SDR) performances of the two VIIRS, to support user communities. The VIIRS TEB calibration algorithm was improved to mitigate calibration biases during the blackbody warm-up/cool-down (WUCD) events. Four WUCD bias correction methods were implemented in the NOAA operational processing in 2019: (1) the Nominal-F method, (2) the WUCD-C method, (3) the Ltrace method, and (4) the Ltrace-2 method. Our evaluation results indicate that the on-orbit performances of the two VIIRS instruments have been generally stable and comparable with each other, except that NOAA-20 VIIRS blackbody and instrument temperatures are lower than those of the S-NPP VIIRS. The degradations in the S-NPP TEB detector responsivities remain small after 9 years on-orbit. NOAA-20 detector responsivities have been generally stable after the longwave infrared degradation during its early mission was resolved by the mid-mission outgassing. NOAA-20 and S-NPP VIIRS TEB SDRs agree with co-located Cross-track Infrared Sounder observations, with daily averaged biases within 0.1 K at nadir. After the implementation of operational WUCD bias correction, residual TEB WUCD biases are similar for NOAA-20 and S-NPP, with daily averaged biases ~0.01 K in all bands.

scholarly journals Data Analytics for Performance Monitoring of Gas Turbine Engine

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuan Liu ◽  
Avisekh Banerjee ◽  
Thambirajah Ravichandran ◽  
Amar Kumar ◽  
Glenn Heppler
Keyword(s):  
Gas Turbine ◽  
Performance Monitoring ◽  
Gas Turbine Engine ◽  
Short Term ◽  
Turbine Engine ◽  
Free Data ◽  
Performance Deterioration ◽  
Long Term Performance ◽  
Term Performance

Performance analysis of a low power rating and partially loaded industrial gas turbine engine (GTE) was carried out by using a model-free data analytic approach. By adopting an efficient input selection method, several performance indices (PI) are proposed to quantify the performance of the GTE. These indices are extracted using engine operating data related to power output and parameters related to fuel consumption, and validated with engine performance monitoring measurements for a three year period corresponding to one time between overhaul intervals. The dependency of the PIs on ambient temperature has been studied by using linear and polynomial fitting curves. Then novel methods are introduced for analysis of short-term and long-term performance deterioration arising from compressor fouling and structural degradation respectively. The results have clearly shown the ability of the proposed PIs to detect short-term compressor fouling as well as long-term performance deterioration, which is directly relevant to the Prognostics and Health Management of gas turbine engine.

Sign in / Sign up

Export Citation Format

Share Document