Xiao Ping Li

Design of High-Speed Thin Steel Plate Roller Based on the Fuzzy Reliability

Rupture often happens when high-speed thin steel plate roller endures exchanging stress. Based on fuzzy theory, the paper discusses the fuzzy reliability design of roller with random variables and fuzzy variables, puts forward a basic method of digital simulation, and furthermore takes actions to improve the reliability of the rollers.

Design on the Main-Axis in Big Power Inverted Umbrella Aeration Machine Based on Genetic Algorithms

Genetic Algorithms is a new method, which has good robustness in optimization design for complex system. In this paper, we make the mathematical model of optimization design for the main-axis in big power inverted umbrella aeration machine by studying Genetic Algorithms. Using coding method, we complete the optimization design of the main-axis in big power inverted umbrella aeration machine.

Design of Key Parts of a Pneumatic Conveying System Used in a New Small Trenchless Drilling Robot

Through research on Pneumatic Conveying technology and the principle of Laval Jet, we completed the design of key parts of a mud dust conveying system used a new small trenchless drilling robot in municipal road construction.

Study on Optimal Design of a Drillers’ Gear Box Using Method of Grey Classification

Grey Classification is a method which can judge and analyses the matter in the Grey System .It is more reasonable and practical than other ways. In this paper, we studied the Grey System and Grey Classification. Basing on the traditional method of multiple targets optimal design of driller’gear box, we found out the most satisfactory results which is more optimal than others by using the method of Grey Classification.

Design of a Series of Cylindrical Helical Torsion Springs Based on Similar Design Theory

A series of cylindrical helical torsion springs has been designed with the help of the similar design theory and method. The values of maximum torque and stiffness of the series have been figure out.

Multi-Objective Optimal Design of Helical Gear Transmission Based on the Theory of Grey Classification

Grey Classification is a method which can judge and analyse the matters in the Grey System. It is more reasonable and practical than other Optimal Design. By study of Grey Classification and the traditional method of multi-objective optimal design of helical gear transmission, we found out the most satisfied results.

Fault Diagnosis to a Rolling Bearing in a Blowing Machine Based on the Theories of EMD and Intrinsic Modal Energy Entropy

Based on the research of the theory and the experiment of EMD and Intrinsic Modal Energy Entropy，the vibration signal of a rolling bearing in a Blowing Machine of a certain factory was measured when working. Then the signal was decomposed by EMD, its Intrinsic Modal Energy Entropy was calculated and used as fault feature. Finally, using a Support Vector Classification System, a satisfied effect of fault diagnosis of a rolling bearing in a Blowing Machine was got. The experiment had confirmed that the method was advanced, reliable and practical. A new method was provided for fault diagnosis of rolling bearings in some Blowing Machines.

Intelligence Monitor and Diagnosis to High Speed Brushes Aeration Mechanics Based on Turbulent Flow Displacement Sensing Theory

High Speed Brushes Aeration Mechanics are the effective aeration equipments which are widely used in the environmental protection. Because of the big span of main spindle and its high speed when it is working, the breakdown sometimes occurs. It is very importance to monitor its condition and diagnose its breakdowns. Turbulent Flow Displacement Sensors are the non-contact types which are based on eddy current effect. It has many advantages, such as good linearity, wide frequency response scope, convenience installment and so on. So it is very suitable for the main spindle’s vibration signals of a high speed brushes aeration mechanic are monitored. With the development of Artificial Neural Networks technology, the equipment breakdown diagnosis has realized intellectualization. The recognition of equipment failure types is one of the most important studying domains of Artificial Neural Networks at present. Based on the research of eddy current effect and Artificial Neural Networks, we build up a test system which can monitor condition and diagnose breakdown to a GSB-12 high speed brushes aeration mechanic. With the help of it, the vibration signals of the measurement points on the main spindle are measured at two mutually vertical positions. The signals’ base frequency and multiplicative frequency are taken as characteristic value. Six common breakdowns are selected and to be taken as the standard sample and there are 3 lays in the neural network. Using FBP algorithm, we get a satisfied effect. The experiment has confirmed that this method is advanced, reliable and practical. It provides a new method about intelligent monitor and breakdown diagnosis to high speed brushes aeration mechanics’ condition.

Monitor On-Line and Fault Diagnosis to High Speed Centrifugal Hydrogen Compressors Based on the Theories of EMD and Correlation Dimension

High Speed Centrifugal Hydrogen Compressors are big and critical equipments which are widely used in chemical enterprises. It is very important to monitor their condition on-line and diagnose their failure. Based on the research of EMD (empirical mode decomposition) and correlation dimension and experimental simulation, the vibration signals of a High Speed Centrifugal Hydrogen Compressor’s main spindle are collected when working. Then the signals are decomposed by EMD, their correlation dimensions are calculated and taken as fault feature. Finally, using BP algorithm of a neural network in which there are 3 lays, a satisfied effect of fault diagnosis of a High Speed Centrifugal Hydrogen Compressor has been got. The experiment has confirmed that the method is advanced, reliable and practical. A new method is provided for High Speed Centrifugal Hydrogen Compressors’ fault diagnosis.