In-Line Monitoring of Particulate, Color, and Water Content in Lubricating Oils to Facilitate Predictive Maintenance, Reduce Wear, and Provide Real Time Alarming

2012 ◽  
pp. 107-107-13
Author(s):  
Thomas M. Canty
Keyword(s):  
Water Content ◽  
Real Time ◽  
Predictive Maintenance ◽  
Lubricating Oils

scholarly journals Relative water content consistently predicts drought mortality risk in seedling populations with different morphology, physiology, and times to death

2020 ◽  
Author(s):  
Gerard Sapes ◽  
Anna Sala
Keyword(s):  
Water Content ◽  
Real Time ◽  
Pinus Ponderosa ◽  
Mortality Risk ◽  
Relative Water Content ◽  
Large Scale ◽  
Water Status ◽  
Physiological Indicators ◽  
Relative Water ◽  
Global Impacts

AbstractPredicted increases in forest drought mortality highlight the need for predictors of incipient drought-induced mortality (DIM) risk that enable proactive large-scale management. Such predictors should be consistent across plants with varying morphology and physiology. Because of their integrative nature, indicators of water status are promising candidates for real time monitoring of DIM, particularly if they standardize morphological differences among plants. We assessed the extent to which differences in morphology and physiology between Pinus ponderosa populations influence time to mortality and the predictive power of key indicators of DIM risk. Time to incipient mortality differed between populations but occurred at the same relative water content (RWC) and water potential (WP). RWC and WP were more accurate predictors of drought mortality risk than other physiological indicators, including non-structural carbohydrate (NSC) content and percent loss of conductivity (PLC). These results highlight that variables related to water status capture critical thresholds during DIM and the associated dehydration processes. Both WP and RWC are promising candidates for large-scale assessments of DIM risk. RWC is of special interest because it allows comparisons across different morphologies and can be remotely sensed. Our results offer promise for real time landscape-level monitoring of DIM and its global impacts.

Digitization of Real-Time Predictive Maintenance for High Speed Machine Equipment

2021 ◽  
pp. 132-140
Author(s):  
Rony Mitra ◽  
Mayank Shukla ◽  
Adrijit Goswami ◽  
Manoj Kumar Tiwari
Keyword(s):  
Real Time ◽  
High Speed ◽  
Predictive Maintenance ◽  
High Speed Machine

scholarly journals Rapid Characterization of Lubricating Oils Using Direct Analysis in Real Time (DART)-MS Equipped with a Thermal Desorption/Pyrolysis Device

2019 ◽  
Vol 68 (7) ◽  
pp. 483-490
Author(s):  
Chikako TAKEI ◽  
Kenichi YOSHIZAWA ◽  
Sayaka NAKAMURA ◽  
Thierry FOUQUET ◽  
Hiroaki SATO
Keyword(s):  
Real Time ◽  
Thermal Desorption ◽  
Direct Analysis ◽  
Lubricating Oils ◽  
Rapid Characterization

Surface soil water dynamics in pastures in northern New South Wales. 1. Use of electrical resistance sensors

2004 ◽  
Vol 44 (3) ◽  
pp. 273 ◽  
Author(s):  
S. R. Murphy ◽  
G. M. Lodge
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Real Time ◽  
Surface Runoff ◽  
Electrical Resistance ◽  
New South ◽  
Water Dynamics ◽  
Continuous Data ◽  
Soil Water Dynamics ◽  
South Wales

Stored soil water may influence both the generation of surface runoff and the rate of evapotranspiration from pastures, which may be significant in northern New South Wales. Continuous data is essential to fully understand these processes in field studies. Electrical resistance sensors were used to capture continuous data and they were calibrated directly for soil water content (SWC), so as to provide quantitative data in real time. Calibration equations (logarithmic regression) were significantly different for a range of installation depths (2.5–20 cm). To�provide quantitative insight into soil water dynamics in studies of stored soil water, surface runoff, and evapotranspiration, real time data were collected at intervals ranging from 4 min to 24 h. Resistance sensors provided estimates of stored soil water (0–30 cm) that differed by up to 29% compared with estimates obtained from using a neutron moisture metre alone. In surface runoff studies, data collected at 4 min intervals showed that runoff was generated when soil water content was high. In studies of evapotranspiration, daily data were used to quantify different evapotranspiration rates (2.3–4.9 mm/day) and progressive depth of drying for a range of treatments. We concluded that data collected in real time using resistance sensors may be used to make better estimates of SWC and so improve the interpretation of surface runoff generation and evapotranspiration data.

Effect of Silencing Information Regulator on Rat Cerebral Venous Thrombosis Through Regulating Vascular Endothelial Growth Factor

2019 ◽  
Vol 9 (11) ◽  
pp. 1607-1613
Author(s):  
Yan-Qing Liu ◽  
Yang Zhao ◽  
Yi-Jun Wu ◽  
Bo-Feng Liu ◽  
Hui-Ping Zhang ◽  
...  
Keyword(s):  
Venous Thrombosis ◽  
Water Content ◽  
Real Time ◽  
Brain Tissue ◽  
Neurological Deficit ◽  
Real Time Pcr ◽  
Cerebral Venous Thrombosis ◽  
Vegf Expression ◽  
Tissue Water ◽  
Sirt1 Expression

Cerebral venous thrombosis (CVST) can cause severe dysfunction and even death. Silencing information regulator (SIRT1) involves in neurodegenerative diseases. However, whether SIRT1 participates in CVST is unclear. SD rats were divided into 3 groups, control group; CVST group and SIRT1 group (transfected with AAV-SIRT1 plasmid) followed by analysis of brain tissue SIRT1 and VEGF expression by Real time PCR, neurological deficit scores and brain tissue water content. Brain vascular endothelial cells (bVECs) were cultured and divided into NC group, SIRT1 group and si-SIRT1 group followed by analysis of cell proliferation by MTT assay, Caspase 3 activity, SIRT1 expression by Real time PCR and Western blot and VEGF expression and secretion by Real time PCR and ELISA. SIRT1 expression was decreased and VEGF expression was increased, along with increased score of neurological deficit and water content of brain tissue in CVST rats. Transfection of AAV-SIRT1 plasmid up-regulated SIRT1 expression in CVST rats, inhibited VEGF expression, improved neurological deficit score and brain tissue water content (P < 0.05). Overexpression of SIRT1 in bVECs significantly decreased cell proliferation, elevated Caspase 3 activity, and decreased VEGF expression and secretion, compared to NC group (P < 0.05). Knockdown of SIRT1 expression in bVECs reversed the above changes (P < 0.05). SIRT1 expression is decreased in CVST rats and up-regulation of SIRT1 can inhibit VEGF expression and improve neurological function. SIRT1 can inhibit the proliferation of bVECs and regulate cerebral venous thrombosis by regulating VEGF.

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