Papers by Author: Liang Pei Huang

Abstract: In order to overcome the disadvantages which existed in traditional control system of electro-excavator,such as backward technology,large noise,inconvenient operation,low dynamic efficiency,high cost and so on,the structure and the working principle of DC speed control system were firstly analyzed.Then core board UTU2440-F-V4.5 was adopted to design a digital controller, which can produce 12 triggering pulses to trigger 12 GTOs and monitor the work condition of electro-excavator.Furthermore,synchronous signal detection circuit,work parameter detection circuit and triggering pulse circuit were discussed in detail.Finally,good performance of speed,convenient maintenance and significant energy saving of DC speed control system were proved by experiments.

Abstract: Based on the time-to-failure density function of parts, the maintenance cost model of mining mechanical equipment is established and simulated. The influence factors of time-to-failure density function on the maintenance costs are analysed and the dynamic changing regularity is investigated, which is significant to establish reasonable maintenance strategies, improve the efficiency of equipment operation, reduce the costs and optimize the design of mechanical equipment parts.

Abstract: The mechanical equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for mechanical equipment is broken, so it is necessary to research and estimate the safety reliability of mechanical system. Based on the time-to-failure density function of parts, the mechanical system reliability model is constructed to track the change course of age structure of part population for the mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

Abstract: The mechanical equipment faults result from parts failure in the period of service time, due to reassembly and maintenance, the reliability model for mechanical equipment is broken, so it is necessary to research and estimate the safety reliability of mechanical system. Based on the time-to-failure density function of parts, the mechanical system reliability model is constructed to track the change course of age structure of part population for the mechanical systems that are reassembled and maintained. By means of simulation of the system reliability model, concerned parameters with mechanical systems service life are defined, it is discussed how the time-to-failure density function have influence on the service life for mechanical systems undergoing reassembly and maintenance. It is significant to estimate reliability and failure rate of systems and to establish reasonable maintenance policies.

Abstract: In the noise reduction algorithm based on manifold learning, phase space data may be distorted and reduction targets are chosen at random, it made efficiency and effect of noise reduction lower.To solve this problem, a improved noise reducation method (local tangent space mean reconstruction) was proposed.The process of global array by affine transformation will be replaced with mean reconstruction,and the intrinsic dimension was estimate as dimension of reduction targets by using maximum likehood estimation method, the data in addition to intrinsic dimension space will be eliminated.Noise reduction experiment to fan vibration signal with noise shows this method had better noise reduction effect.