EFFECTS OF MONITORING SIGNAL HYSTERESIS ON SPEED REGULATION FOR THE AERO-DERIVATIVE GAS TURBINE

Sensor aging and sensor failure are the common phenomena due to the high temperature and pressure environment for gas turbines, which can lead to hysteresis of monitoring signals. In this paper, a kind of aero-derivative gas turbine is taken as the research object. The hysteresis effects of single monitoring signal and coupling of multiple monitoring signals on speed control are mainly studied, and the analysis is carried out from the perspective of adjustment time, overshoot, fuel quantity and fuel quantity regulation output. The analysis results show that the pressure signal hysteresis will lead to speed suspension. The speed signal hysteresis will change the speed regulation into a multi-step mode. When the monitoring signal hysteresis is coupled, the effect of pressure signal hysteresis is greater than that of speed signal hysteresis. The results of this paper can provide a reference for the optimal design of speed control of aero-derivative gas turbine

Analysis, detection and early warning control of dynamic rollover of heavy freight vehicles

The conceptual design of the early warning based roll instability enhancement system is realized through systematic investigations on static and dynamic roll behavior of the vehicles, identification of indicators for the onset of instability, and reliability analysis. The relative and absolute roll instability criteria are initially derived from the rollover mechanics of different heavy vehicle combinations. The relative roll instability conditions are evaluated under steady cornering maneuvers through development and analysis of static roll plane models. The sensitivity of the static rollover threshold (SRT) measure to variations in design and operating factors of the vehicle and suspension configurations is evaluated and the conditions of relative rollover for different vehicle configurations are identified. A constant velocity three-dimensional model is derived for relative roll instability analysis of articulated vehicles under dynamic directional maneuvers. Dynamic rollover threshold of articulated heavy vehicles is proposed on the basis of effective lateral acceleration (ELA) and relative rollover criterion. The absolute roll instability of heavy vehicles is further investigated using energy approach to derive the absolute rollover limits. A number of potential rollover indicators are identified and evaluated for a five-axle tractor semi-trailer combination using the constant velocity three-dimensional vehicle model in terms of their reliability and early warning capability for driver's actions. The effectiveness of proposed indicators for the open-loop roll stability enhancement is investigated through development and analysis of a comprehensive vehicle model, incorporating braking dynamics. Time delays due to driver's reaction and the transportation lag of the braking system are characterized by a variable referred to as reaction delay. The rollover indicators are investigated for their effectiveness for open- loop roll stability control in various cornering and evasive maneuvers, road conditions, braking efforts, and reaction delays. The study revealed that the RSF is the most reliable indicator, irrespective of the vehicle configurations, while its measurability is relatively poor. The indicators based upon lateral acceleration, sprung and unsprung mass roll angles and steering velocity factor yield good correlation with RSF, but exhibit certain sensitivity to variations in design and operating factor

An analytical study of ride and handling performance of an interconnected vehicle suspension

Design of a vehicle suspension involves a difficult compromise among the ride, handling and directional control performance characteristics. While a soft suspension is desired to enhance ride quality, hard suspension springs are required to achieve good handling and directional control performance. Auxiliary roll stiffeners, in conjunction with soft suspension, are frequently used to attain an acceptable compromise between ride and handling performance of a vehicle. Alternatively, an improved compromise between ride and handling can be realized by interconnecting hydro-pneumatic suspension struts in the roll plane. The interconnected suspension can provide soft suspension rate for improved ride quality, and firm roll stiffness and damping for adequate handling and control performance. In this dissertation, a hydro-pneumatic suspension, interconnected in the roll plane, is analytically investigated for its ride and handling performance potentials. A highway bus equipped with the interconnected hydro-pneumatic suspension system is modeled in the roll plane as a four-degrees-of-freedom dynamical system subject to excitations arising from road irregularities and roll moment caused by directional maneuvers. The static and dynamic properties of the interconnected suspension are derived and discussed in terms of its load-carrying capacity, suspension rate, roll stiffness, and damping forces. The ride and handling performance characteristics of the interconnected suspension are deterministic excitations. A passive variable damping mechanism is proposed and investigated to achieve improved vehicle ride quality. The vibration isolation performance characteristics of the interconnected suspension employing the variable damping valves are further investigated for deterministic and random excitations. From the computer simulation results, it is concluded that the interconnected hydro-pneumatic suspension with inherent enhanced anti-roll stiffness and damping characteristics can provide an improved compromise between ride comfort and handling performance of a vehicle

Sub-pixel change detection for urban land-cover analysis via multi-temporal remote sensing images

Conventional change detection approaches are mainly based on per-pixel processing, which ignore the sub-pixel spectral variation resulted from spectral mixture. Especially for medium-resolution remote sensing images used in urban land-cover change monitoring, land use/cover components within a single pixel are usually complicated and heterogeneous due to the limitation of the spatial resolution. Thus, traditional hard detection methods based on pure pixel assumption may lead to a high level of omission and commission errors inevitably, degrading the overall accuracy of change detection. In order to address this issue and find a possible way to exploit the spectral variation in a sub-pixel level, a novel change detection scheme is designed based on the spectral mixture analysis and decision-level fusion. Nonlinear spectral mixture model is selected for spectral unmixing, and change detection is implemented in a sub-pixel level by investigating the inner-pixel subtle changes and combining multiple compositi..

Future climate change significantly alters interannual wheat yield variability over half of harvested areas

Climate change affects the spatial and temporal distribution of crop yields, which can critically impair food security across scales. A number of previous studies have assessed the impact of climate change on mean crop yield and future food availability, but much less is known about potential future changes in interannual yield variability. Here, we evaluate future changes in relative interannual global wheat yield variability (the coefficient of variation (CV)) at 0.25° spatial resolution for two representative concentration pathways (RCP4.5 and RCP8.5). A multi-model ensemble of crop model emulators based on global process-based models is used to evaluate responses to changes in temperature, precipitation, and CO2. The results indicate that over 60% of harvested areas could experience significant changes in interannual yield variability under a high-emission scenario by the end of the 21st century (2066–2095). About 31% and 44% of harvested areas are projected to undergo significant reductions of relative yield variability under RCP4.5 and RCP8.5, respectively. In turn, wheat yield is projected to become more unstable across 23% (RCP4.5) and 18% (RCP8.5) of global harvested areas—mostly in hot or low fertilizer input regions, including some of the major breadbasket countries. The major driver of increasing yield CV change is the increase in yield standard deviation, whereas declining yield CV is mostly caused by stronger increases in mean yield than in the standard deviation. Changes in temperature are the dominant cause of change in wheat yield CVs, having a greater influence than changes in precipitation in 53% and 72% of global harvested areas by the end of the century under RCP4.5 and RCP8.5, respectively. This research highlights the potential challenges posed by increased yield variability and the need for tailored regional adaptation strategies

Endoglin Is Essential for the Maintenance of Self-Renewal and Chemoresistance in Renal Cancer Stem Cells.

Renal cell carcinoma (RCC) is a deadly malignancy due to its tendency to metastasize and resistance to chemotherapy. Stem-like tumor cells often confer these aggressive behaviors. We discovered an endoglin (CD105)-expressing subpopulation in human RCC xenografts and patient samples with a greater capability to form spheres in vitro and tumors in mice at low dilutions than parental cells. Knockdown of CD105 by short hairpin RNA and CRISPR/cas9 reduced stemness markers and sphere-formation ability while accelerating senescence in vitro. Importantly, downregulation of CD105 significantly decreased the tumorigenicity and gemcitabine resistance. This loss of stem-like properties can be rescued by CDA, MYC, or NANOG, and CDA might act as a demethylase maintaining MYC and NANOG. In this study, we showed that Endoglin (CD105) expression not only demarcates a cancer stem cell subpopulation but also confers self-renewal ability and contributes to chemoresistance in RCC

CRISPR-Mediated VHL Knockout Generates an Improved Model for Metastatic Renal Cell Carcinoma.

Metastatic renal cell carcinoma (mRCC) is nearly incurable and accounts for most of the mortality associated with RCC. Von Hippel Lindau (VHL) is a tumour suppressor that is lost in the majority of clear cell RCC (ccRCC) cases. Its role in regulating hypoxia-inducible factors-1α (HIF-1α) and -2α (HIF-2α) is well-studied. Recent work has demonstrated that VHL knock down induces an epithelial-mesenchymal transition (EMT) phenotype. In this study we showed that a CRISPR/Cas9-mediated knock out of VHL in the RENCA model leads to morphologic and molecular changes indicative of EMT, which in turn drives increased metastasis to the lungs. RENCA cells deficient in HIF-1α failed to undergo EMT changes upon VHL knockout. RNA-seq revealed several HIF-1α-regulated genes that are upregulated in our VHL knockout cells and whose overexpression signifies an aggressive form of ccRCC in the cancer genome atlas (TCGA) database. Independent validation in a new clinical dataset confirms the upregulation of these genes in ccRCC samples compared to adjacent normal tissue. Our findings indicate that loss of VHL could be driving tumour cell dissemination through stabilization of HIF-1α in RCC. A better understanding of the mechanisms involved in this phenomenon can guide the search for more effective treatments to combat mRCC