scholarly journals Monitoring of the tractor working parameters from the CAN-Bus

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Giovannni Molari ◽  
Michele Mattetti ◽  
Daniela Perozzi ◽  
Eugenio Sereni
Keyword(s):  
Detailed Analysis ◽  
Working Conditions ◽  
Can Bus ◽  
Optimal Solution ◽  
Central Unit ◽  
Operational Parameters ◽  
Quality And Reliability ◽  
Operation Parameters ◽  
Working Parameters ◽  
Mission Profile

The analysis of the tractor mission profile is one of the main objectives for tractor manufacturers. The mission profile has usually been estimated through the use of questionnaires submitted to consumers. This procedure is time-consuming and not totally reliable due to the trustworthiness in the questionnaire compilation. In all the high power tractors numerous transducers are fitted to monitor some parameters to optimise the operation of the machines. All of these transducers are connected to an electronic central unit or with the tractor CAN-Bus. In this context, a system able to monitor the working parameters of the machines capitalising the existing transducers could represent the optimal solution for monitoring tractors distributed in different regions. The high number of signals are in any case difficult to memorise without a high quantity of memory. The goal of the paper is to define a methodology to memorise the operation parameters useful to define the mission profile of a tractor using a small memory. A tractor of a nominal power of 230 kW was selected and a system able to measure the signals acquired by the transducers fitted on the tractor was connected to the CAN Bus of the tractor. After a detailed analysis of the parameters measured on the tractor, the useful parameters were defined and acquired in different working conditions. The analysis of the parameters stored in the memory has allowed a detailed analysis of the operational parameters of the tractor in different applications. These parameters could be used by engineers to design tractors with a higher quality and reliability and also to define predictive maintenance criteria and reduce unexpected tractor failures.

scholarly journals The Condition of Photovoltaic Modules under Random Operation Parameters

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8358
Author(s):  
Grzegorz Trzmiel ◽  
Jaroslaw Jajczyk ◽  
Ewa Kardas-Cinal ◽  
Norbert Chamier-Gliszczynski ◽  
Waldemar Wozniak ◽  
...  
Keyword(s):  
Working Conditions ◽  
Original Method ◽  
Diagnostic Information ◽  
Photovoltaic Module ◽  
Operational Parameters ◽  
Efficient Tool ◽  
Residual Method ◽  
Photovoltaic Modules ◽  
Pv Modules ◽  
Operation Parameters

The paper presents an original method underlying an efficient tool for assessing the condition of photovoltaic (PV) modules, in particular, those made of amorphous cells. Significantly random changes in operational parameters characterize amorphous cell operation and cause them to be challenging to test, especially in working conditions. To develop the method, the authors modified the residual method with incorporated histograms. The proposed method has been verified through experiments that show the usefulness of the proposed approach. It significantly minimizes the risk of false diagnostic information in assessing the condition of photovoltaic modules. Based on the proposed methods, the inference results confirm the effectiveness of the concept for evaluating the degree of failure of the photovoltaic module described in the paper.

Outlining the mission profile of agricultural tractors through CAN-BUS data analytics

2021 ◽  
Vol 184 ◽  
pp. 106078
Author(s):  
Michele Mattetti ◽  
Mirko Maraldi ◽  
Nicola Lenzini ◽  
Stefano Fiorati ◽  
Eugenio Sereni ◽  
...  
Keyword(s):  
Data Analytics ◽  
Can Bus ◽  
Agricultural Tractors ◽  
Mission Profile

scholarly journals Design and Experimental Investigation on Gas Oxygen/Kerosene Ejector Rocket for RBCC Application

2018 ◽  
Vol 36 (3) ◽  
pp. 558-564
Author(s):  
Xianggeng Wei ◽  
Fei Qin ◽  
Lei Shi ◽  
Baoqing Zhang ◽  
Guoqiang He
Keyword(s):  
Working Conditions ◽  
Rocket Engine ◽  
Combined Cycle ◽  
Engine Test ◽  
The Core ◽  
Technical Requirements ◽  
Core Components ◽  
Design Requirements ◽  
Working Parameters ◽  
Firing Tests

The ejector rocket is one of the core components of the rocket based combined cycle propulsion system, and must be capable of variable working conditions. In order to meet technical requirements for RBCC application, the variable duty operating ejector rocket using the gas Oxygen/Kerosene was designed based on the gas pressurized propellant feed systems. Hot firing tests of four different working conditions had been completed. Experimental results show that the designed ejector rocket engine was stable and reliable, and the working parameters met the design requirements, and the working conditions were adjusted quickly. It lays a foundation for the study of the RBCC engine test and the engine technology of large adjustment ratio.

Working Parameters Optimization of Hydrolysis-acidogenesis reactor in two stage anaerobic digestion of slaughterhouse Wastewater for Biogas Production

2020 ◽  
Author(s):  
Dejene Tsegaye Bedane ◽  
Mohammed Mazharuddin Khan ◽  
Seyoum Leta Asfaw
Keyword(s):  
Anaerobic Digestion ◽  
Working Conditions ◽  
Retention Time ◽  
Hydraulic Retention Time ◽  
Loading Rate ◽  
Oxygen Demand ◽  
Organic Loading Rate ◽  
Organic Loading ◽  
Slaughterhouse Wastewater ◽  
Working Parameters

Abstract Background : Wastewater from agro-industries such as slaughterhouse is typical organic wastewater with high value of biochemical oxygen demand, chemical oxygen demand, biological organic nutrients (Nitrogen and phosphate) which are insoluble, slowly biodegradable solids, pathogenic and non-pathogenic bacteria and viruses, parasite eggs. Moreover it contains high protein and putrefies fast leading to environmental pollution problem. This indicates that slaughterhouses are among the most environmental polluting agro-industries. Anaerobic digestion is a sequence of metabolic steps involving consortiums of several microbial populations to form a complex metabolic interaction network resulting in the conversation of organic matter into methane (CH 4 ), carbon dioxide (CO 2 ) and other trace compounds. Separation of the phase permits the optimization of the organic loading rate and HRT based on the requirements of the microbial consortiums of each phase. The purpose of this study was to optimize the working conditions for the hydrolytic - acidogenic stage in two step/phase anaerobic digestion of slaughterhouse wastewater. The setup of the laboratory scale reactor was established at Center for Environmental Science, College of Natural Science with a total volume of 40 liter (36 liter working volume and 4 liter gas space). The working parameters for hydrolytic - acidogenic stage were optimized for six hydraulic retention time 1-6 days and equivalent organic loading rate of 5366.43 – 894.41 mg COD/L day to evaluate the effect of the working parameters on the performance of hydrolytic – acidogenic reactor. Result : The finding revealed that hydraulic retention time of 3 day with organic loading rate of 1,788.81 mg COD/L day was a as an optimal working conditions for the parameters under study for the hydrolytic - acidogenic stage. The degree of hydrolysis and acidification were mainly influenced by lower hydraulic retention time (higher organic loading rate) and highest values recorded were 63.92 % at hydraulic retention time of 3 day and 53.26% at hydraulic retention time of 2 day respectively. Conclusion : The finding of the present study indicated that at steady state the concentration of soluble chemical oxygen demand and total volatile fatty acids increase as hydraulic retention time decreased or organic loading rate increased from 1 day hydraulic retention time to 3 day hydraulic retention time and decreases as hydraulic retention time increase from 4 to 6 day. The lowest concentration of NH 4 + -N and highest degree of acidification was also achieved at hydraulic retention time of 3 day. Therefore, it can be concluded that hydraulic retention time of 3 day/organic loading rate of 1,788.81 mg COD/L .day was selected as an optimal working condition for the high performance and stability during the two stage anaerobic digestion of slaughterhouse wastewater for the hydrolytic-acidogenic stage under mesophilic temperature range selected (37.5℃). Keywords : Slaughterhouse Wastewater, Hydrolytic – Acidogenic, Two Phase Anaerobic Digestion, Optimal Condition, Agro-processing wastewater

scholarly journals The Dynamic Characteristic of a Faulted Rotor System with Multi-Objective Optimization Designed SFD

2019 ◽  
Vol 9 (17) ◽  
pp. 3628 ◽  
Author(s):  
Liang Ma ◽  
Jun Wang ◽  
Guichang Zhang
Keyword(s):  
Fundamental Frequency ◽  
Working Conditions ◽  
Optimization Method ◽  
Rotor System ◽  
Dynamic Responses ◽  
Multi Objective Optimization ◽  
Operational Parameters ◽  
Multi Objective ◽  
Coupling Fault ◽  
Misalignment Fault

As an important part of the turbomachinery, the rotor–bearing system has been upgraded to provide a high rotating speed in order to meet the demand of high power production. With increasing demand for stability, the squeeze film damper (SFD) has been widely used in industrial machinery because it can reduce the vibration amplitude and suppress the external force. Usually, it shows inadaptability under the different working conditions where the SFD parameters didn’t change appropriately. Therefore, the reasonable choice of operational parameters of SFD is the key solution that can provide viscous damping effectively and restrain the nonlinear vibration generated by faults. In this paper, the mathematical model of a rotor-ball bearing-SFD system considering the misalignment fault and misalignment-rubbing coupling fault is built first. Then the dynamic characteristics under typical working conditions (ω = 1000 rad/s) of the faulted rotor are discussed. The vibration attenuation effects of the SFD parameters selected by using the multi-objective optimization method on the dynamic responses are analyzed. The results show that when the rotor system operates under different states, the value and the sensitivity of optimization parameters are altered. With no fault, the amplitude of fundamental frequency decrease 23%. With the misalignment fault, the amplitude of the fundamental frequency decreases by 43.4%, the amplitude of 2× fundamental frequency decreases by 27.5%, and the amplitude of 3× fundamental frequency decreases by 66.7%. With the misalignment-rubbing coupling fault, the amplitude of fundamental frequency reduces by 7.4%, the amplitude of 2× fundamental frequency drops by 51.5%, and the amplitude of 3× fundamental frequency drops by 16.8%. Overall, the feasibility of the optimization method of the variable-structured SFD operational parameters for the faulted rotor system is verified. These parametric analyses are very helpful in the development of a high-speed rotor system and provide a theoretical reference for the vibration control and optimal design of rotating machinery.

Impact and Role of Motivation Theories in Continuous Improvement Environments

2020 ◽  
Vol 11 (1) ◽  
pp. 1-13
Author(s):  
Brian J. Galli
Keyword(s):  
Continuous Improvement ◽  
Working Conditions ◽  
Job Design ◽  
Internal Communication ◽  
Future Studies ◽  
The World ◽  
Multiple Variables ◽  
Quality And Reliability ◽  
The Relationship

A large number of the well-performing organizations in the world are believed to have better environments that produce highly motivated employees to attain their goals. As noted in the various literatures reviewed in this study, improved working conditions in companies, such as Dell Technologies and Apple Inc., are responsible for the overall organizational success within the highly contested market. When employees are motivated, they also work towards improving the conditions within the workplaces, so the relationship between the two is mutual. In addition, pay satisfaction, job design, and internal communication of an organization contributes to its workforce motivation, which results in improved productivity for the entire organization. On the other hand, highly motivated employees encourage organizational managers to offer better payment to their organizations, to attain satisfactory job design, and to improve internal communication. Even though this study utilized few articles in the literature review, its findings significantly contribute to the modern literature. However, future studies should consider using more materials and multiple variables to improve the quality and reliability of the outcomes.

Study on Trispectrum Characteristics of MR Damper in Vibration Processes

2011 ◽  
Vol 211-212 ◽  
pp. 285-289
Author(s):  
Fu Sen Wu ◽  
Yi Jian Huang ◽  
Shan Xu
Keyword(s):  
Time Series ◽  
Working Conditions ◽  
Dynamic Characteristics ◽  
Mr Damper ◽  
Ar Model ◽  
Vibration Process ◽  
New Type ◽  
Non Gaussian ◽  
Working Parameters ◽  
Optimum Working

In order to find out a new type of MR damper for block making machine, the signals of displacement in the vibration process during the test are collected and the time series AR model of trispectrum for analyzing the dynamic characteristics of the MR damper is built. It turns out that , in different working conditions, slices of trispectrum are applied to obtain the signal’s non-Gaussian, nonlinear amplitude-frequency characteristics which are very important for us to select the optimum working parameters of the MR damper.

Light Weight Optimization Design for a Connection Frame Considering Thermal-Structural Coupling Deformation

2014 ◽  
Author(s):  
Lufan Zhang ◽  
Zhili Long ◽  
Jiandong Cai ◽  
Jiwen Fang
Keyword(s):  
Working Conditions ◽  
Optimal Solution ◽  
Frame Structure ◽  
Light Weight ◽  
Precision Positioning ◽  
Structural Coupling ◽  
Maximum Deformation ◽  
High Acceleration ◽  
Ultra Precision ◽  
Coupling Deformation

Connection frame, as a key module in macro-micro motion platform, is employed to realize a high acceleration, high speed and ultra-precision positioning motion. In the paper, six working conditions of connection frame are obtained by analyzing its driving processes. The maximum deformation in the different working conditions is calculated by the mechanical analysis which affects ultra-precision positioning. Moreover, the maximum deformation of thermal-structural coupling analysis increases the influence on the positioning. Under the same situation, the change trends of deformation and stress distribution of connection mechanism can be obtained by changing the surface loads. The maximum deformation and stress increase with the loads. However, for ever-increasing market demand, it is not adequate to only consider high acceleration under accuracy requirement. The higher acceleration is needed by light weight of connection frame. Therefore, an optimization model is built and studied, which takes the weight of connection frame as objective and takes the thermal deformation as constraint. Connection frame structure model can be calculated in ANSYS and the optimal solution can be obtained by genetic algorithm (GA) in MATLAB. With MATLAB and ANSYS optimization, the rate of convergence has been improved by 3%. Design variables for optimal solution are obtained. The weight and the maximum thermal-structural coupling displacement have been improved by 24.3% and 27.3% respectively. The first six order vibration modes of connection frame are obtained by the finite element method. And the simulation data can be verified by experiment. At last, an optimization connection frame structure considering thermal-structure coupling deformation is obtained.

scholarly journals Retrieval of aerosol optical depth over land based on a time series technique using MSG/SERIVI data

2012 ◽  
Vol 12 (2) ◽  
pp. 4031-4071 ◽  
Author(s):  
L. Mei ◽  
Y. Xue ◽  
G. de Leeuw ◽  
T. Holzer-Popp ◽  
J. Guang ◽  
...  
Keyword(s):  
Time Series ◽  
Detailed Analysis ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Optimal Solution ◽  
Single Scattering ◽  
Asymmetry Factor ◽  
Surface Reflectance ◽  
Deep Blue ◽  
Aerosol Type

Abstract. A novel approach for the joint retrieval of aerosol optical depth (AOD) and surface reflectance, using Meteosat Second Generation – Spinning Enhanced Visible and Infrared Imagers (MSG/SEVIRI) observations in two solar channels, is presented. The retrieval is based on a time series (TS) technique, which makes use of the two visible bands at 0.6 μm and 0.8 μm in three orderly scan times (15 min interval between two scans) to retrieve the AOD over land. Using the radiative transfer equation for plane-parallel atmospheres two coupled differential equations for the upward and downward fluxes are derived. The boundary conditions for the upward and downward fluxes at the top and at the bottom of the atmosphere are used in these equations to provide an analytic solution for the surface reflectance. To derive these fluxes, the aerosol single scattering albedo (SSA) and asymmetry factor are required to provide a solution. These are provided from a set of six pre-defined aerosol types with the SSA and asymmetry factor (g). We assume one aerosol type for a grid of 1° × 1° and the surface reflectance changes little between two consequent scans. A k approximation was used in the inversion to find the best solution of atmospheric properties and surface reflectance. The algorithm makes use of numerical minimisation routines to obtain the optimal solution of atmospheric properties and surface reflectance by selection of the most suitable aerosol type from pre-defined sets. Also, it is assumed that the surface reflectance is little influenced by aerosol scattering at 1.6 μm and therefore the ratio of surface reflectances in the solar band for two consequent scans can be well-approximated by the ratio of the reflectances at 1.6 μm. A further assumption is that the surface reflectance varies only slightly over a period of 30 min. A detailed analysis of the retrieval results show that it is suitable for AOD retrieval over land. Six Aerosol Robotic Network (AERONET) sites with different surface types were used for detailed analysis and 42 other AERONET sites were used for validation. From 445 collocations representing stable and homogeneous aerosol type, we found that >75% of MSG-retrieved AOD values compared to AERONET observed values with an error envelope of ±0.05 ± 0.15τ and a high correlation (R > 0.86). The AOD datasets derived using the TS method with SEVIRI data was also compared with collocated AOD products derived from the NASA TERRA and AQUA MODIS data using the dark dense vegetation (DDV) method and the Deep Blue algorithms. Using the TS method, AOD could be retrieved for more pixels than with the NASA Deep Blue algorithm. The AOD values derived compare favourably.

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