Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.
The technologies of expert system, ontology modeling and reasoning are studied and applied in this paper. A framework of ontology-based expert system for equipment selection and matching in fully mechanized caving face is built up. The OWL(Web Ontology Language) based equipment knowledge base is set up, and the redundant test is made in the protégé environment. The equipment selection and matching rules are built up by using SWRL(Semantic Web Rule Language). By using JAVA language, the output of equipment selection expert system is optimized based on the theory of Analytic Hierarchy Process. At last, the functions of the expert system are achieved under JESS(Java Expert System Shell) environment. Practical application shows that the equipments selected and matched by ontology-based expert system are more realistic.
A CPC for LFR system was designed and its mathematical model was established. Maximum acceptance angle and truncation ratio was optimized to 45° and 0.75, which two elements mainly affect the optical performance of CPC. Moreover, the non-uniform of incident angle can considerably improve the CPC concentration ratio. Results show that the CPC with 475.49mm opening width could achieve a high concentrate ratio reach up to 80.15%. This conclusion was further verified by an experimental measurement results.
Graphene quantum dots (GQDs), with stable photoluminescence (PL) and electrocatalytic activity, have potential application in sensor field. Herein, a facile novel electrochemiluminescence (ECL) sensor based on GQDs and glassy carbon electrode (GCE) was developed to detect Butyl hydroxy anisd (BHA) and Gallic acid. The optimization of ECL detection conditions were investigated. Hence, the sensor exhibited relatively strong luminescence intensity even without the modification of the GCE, which make this sensor system easy to implement. The developed sensor exhibited a linear response ranging from 5 to 160 μM under the optimum conditions. The method displayed the advantages of high sensitivity, good selectivity, wide linear range, low detection limit and fine reproducibility. Moreover, the practicability of the ECL sensing platform in real water samples had shown the satisfactory results, which holds a great potential in the field of pharmaceutical analysis.
By taking full advantage of the technologies of data acquisition, signal analysis and processing and fault diagnosis, this thesis carries out a research on the realization method of mine hoist bearing condition monitoring and fault diagnosis. Firstly, this thesis takes a technical analysis for rolling bearing. Secondly, based on determining the overall framework and using a virtual instrument software (Labview), it carries out a program development of the system. The developed system not only integrates the functions of traditional instruments, but also describes the bearing states and the types of bearing failure accurately according to the running status of the monitored bearings. It provides technical support for the mine hoist repair and maintenance and scientific protection for its safe running.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.