The load identification technology is applied in the overrunning clutch torque test, and a new test method is brought up as to apply the experimental modal analysis theory and the load identification principle into th...
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Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold l...
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Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold learning and particle swarm optimization support vector machine(PSO-SVM) is studied. This fault diagnosis model is used for a rolling bearing experimental of three kinds faults. The results are verified that this model based on multi-manifold learning and PSO-SVM is good at the fault sensitive features acquisition with effective accuracy.
In order to achieve the purpose of "integrating students' practical capacity, initiative spirit cultivation and humanistic quality, technical literacy and artistic achievement" about vocational technolog...
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Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of mo...
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Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of modern, high-end and key electromechanical equipment, this paper will describe the early faults prediction method for multi-type electromechanical systems, which is favorable for predicting early faults of complex electromechanical systems in non-stationary, nonlinear, variable working conditions and long-time running state; the paper shall introduce the reconfigurable integration technology of series safety monitoring systems based on which the integrated development platform of series safety monitoring systems is built. This platform can adapt to integrated R&D of series safety monitoring systems characterized by high technology, multiple species and low volume. With the help of this platform, series safety monitoring systems were developed, and the Remote Network Security Monitoring Center for Facility Groups was built. Experimental research and engineering applications show that: this new fault prediction method has realized the development trend features extraction of typical electromechanical systems, multi-information fusion, intelligent information decision-making and so on, improving the processing accuracy, relevance and applicability of information; new reconfigurable integration technologies have improved the integration level and R&D efficiency of series safety monitoring systems as well as expanded the scope of application; the series safety monitoring systems developed based on reconfigurable integration platform has already played an important role in many aspects including ensuring safety operation of equipment, stabilizing product quality, optimizing running state, saving energy consumption, reducing environmental pollution, improving working conditions, carrying out scientific maintenance, advancing equipment utilization, saving mainten
Wind turbine is the key equipment in energy *** this paper,the principal component and the kernel principal component are studied in fault diagnosis of wind *** and characteristics of PCA and KPCA are *** experiment o...
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Wind turbine is the key equipment in energy *** this paper,the principal component and the kernel principal component are studied in fault diagnosis of wind *** and characteristics of PCA and KPCA are *** experiment of fault diagnosis in wind turbine generator shows that the PCA has better performance in feature extraction application.
During thermal analysis measurement,precise detection and control of temperature field in hearth is the core of thermal analysis and thermal flow information measurement technologies,which are usually characterized by...
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During thermal analysis measurement,precise detection and control of temperature field in hearth is the core of thermal analysis and thermal flow information measurement technologies,which are usually characterized by high non-linearity,variable operation modes,strong coupling,and interferences,consequentially it has been impossible to establish a premise static process *** factors influencing temperature field within the hearth could be described in a parameterized manner by a detection means obtained on the basis of multiple information,and a similar scaling function for three-dimensional distribution of thermal flow based on multiple data infusion theory to reveal three-dimensional temperature distribution characteristics inside the hearth and key heat exchange routines different temperature rise rate,we could intuitively view actual instantaneous distribution of temperature inside the hearth in a visible manner,extend system observation scope in terms of time and space,and improve reliability and resolution capacity of thermal flow data,which will certainly improve reliability and accuracy of thermal analysis and measurement
The smart mobile terminal devices are popularized,Dongba scriptures in building a global international platform to share information,research the use of wireless communication technology to achieve a shared mobile end...
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The smart mobile terminal devices are popularized,Dongba scriptures in building a global international platform to share information,research the use of wireless communication technology to achieve a shared mobile end *** sharing platform for mobile applications is built with standardized reliable easy to maintain,and security *** is proposed of the low coupling the mobile terminal functional modules,and ultimately the purpose of the Dongba cultural heritage and sharing information is realized.
The historical normal signal of mechanical equipment contains the normal feature information of mechanical equipment,and the fault signal can be viewed as a superposition coupling of normal feature and fault feature a...
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The historical normal signal of mechanical equipment contains the normal feature information of mechanical equipment,and the fault signal can be viewed as a superposition coupling of normal feature and fault feature as well as random noise of machinery *** paper analyzes and processes the normal data and fault data of mechanical equipment operation,and then conducts the comparative analysis of the acquired results,which facilitates to extract the fault feature implied in the signal,and thus easily discovering the fault related to the mechanical *** it verifies the effectiveness of mechanical fault feature extraction method based on the normal data in the mechanical fault diagnosis through experiments.
Based on equipment selection as the research object,this paper comprehensive analyzes the equipment type selection involves technical indexes and economic indexes and market factors in three aspects,a total of 21 fact...
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Based on equipment selection as the research object,this paper comprehensive analyzes the equipment type selection involves technical indexes and economic indexes and market factors in three aspects,a total of 21 factors,constructs the evaluation system of equipment type selection,use AHP method to determine the weight of each factor,equipment type selection evaluation model is established,and finally adopts the way of voting and the fuzzy comprehensive evaluation method for performance as A,B two devices to make decisions,and it has been proved that the equipment selection decision model has good practicability,can provide equipment selection basis for corporate decision makers,choose the equipment for the enterprise.
Abstraet:Airfoil shape parameterization is an important link of wind turbine airfoil optimize *** solve the problem of airfoil parameterization unified mathematical model,studying the application of Hicks-Henne functi...
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Abstraet:Airfoil shape parameterization is an important link of wind turbine airfoil optimize *** solve the problem of airfoil parameterization unified mathematical model,studying the application of Hicks-Henne function and improved algorithm in wind turbine airfoil *** controlling the coefficients of Hicks-Henne function,to avoid airfoil crossing and not smooth phenomenon,ensuring the smooth of the whole wing *** controlling the key points and design variables,researching the coverage of design spatial and influence of design variables on the *** the defect in Hicks-Henne function method for airfoil trailing edge design,and propose improved Hicks- Henne algorithm to improve the angle of trailing ***-Henne function and its improved algorithm extend the wind airfoil parameterization *** has practical value in engineering.
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