Chai Xiuli

Research and implementation of a multi-fault diagnosis method based on case-based reasoning

In this paper, a multiple fault diagnosis method based on case-based reasoning (CBR) is presented. And the characteristics of multiple fault modes are studied, then the case knowledge library is established for multiple faults, finally a two-step case retrieval strategy is proposed. The candidate case generation method based on the membership weights is employed to initially retrieve, which can reduce the number of candidate cases efficiently. Then, through calculating the case similarity using the grey relational analysis, the most probable fault case is obtained. It can avoids the problem of time-consuming computation resulting from the combination explosion of multiple faults. Finally, an example is applied to illustrate the proposed scheme, the results mean that the above method is effective, and it can be adopted in the actual industrial production.

Structure and character analysis of a new type of steel wire rope NDT detector apparatus

A new type of steel wire rope non-destructive testing (NDT) detector apparatus is presented. It is composed of the magnetizer and the sensor array. The magnetizer, consisting of permanent magnets and armature, is used for magnetizing the steel wire rope to saturation. The high sensitive and giant magneto-resistance (GMR) micro sensor is adopted to inspect the inner and outer flaws of the steel wire rope. Some giant magneto-resistance sensors constitute the sensor array, distributed homogeneously and symmetrically. The differential signals are picked up and outputted for the following signal interpretation. In contrast with previous detectors, the detector can attain the precise and high sensitive measurement of the flaws. In the experiments, the steel wire rope with its diameter being 11 mm is adopted, and its surface flaws are detected. The experiment results show that qualitative detection of surface defects is attained. The apparatus can also be used for the flaw test of the ferromagnetic bars.

Adaptive Generalized Function Projective Lag Synchronization of Time-Delay Systems with Uncertain Parameters

In this paper, we consider generalized function projective lag synchronization of time-delay systems using adaptive control methods, and system parameters are uncertain. By means of the Lyapunov stability theory, an adaptive controller and parameter update rule are designed for achieving generalized function projective lag synchronization between two time-delay systems and estimating all the unknown parameters. Some numerical simulations are provided to show the effectiveness of our results. The results are helpful to make the wireless sensor network safer, and speed up the application of wireless sensor network.

Adaptive Generalized Function Projective Lag Synchronization and Parameter Identification of Hyperchaotic Systems

Generalized function projective lag synchronization (GFPLS) is characterized by the output of the drive system proportionally lagging behind the output of the response system and ratio of the two systems is desired function scaling matrix. In this paper, GFPLS between different hyper chaotic systems with uncertain parameters, i.e. GFPLS between Lorenz-Stenflo (LS) and Lu hyper chaotic system, is studied by applying an adaptive control method. The adaptive controllers and corresponding parameter update rules are constructed to make the states of two diverse hyper chaotic systems asymptotically synchronize up to the desired scaling matrix and to estimate the uncertain parameters. The numerical simulations are provided to show the effectiveness of the results.Generalized function projective lag synchronization (GFPLS) is characterized by the output of the drive system proportionally lagging behind the output of the response system and ratio of the two systems is desired function scaling matrix. In this paper, GFPLS between different hyper chaotic systems with uncertain parameters, i.e. GFPLS between Lorenz-Stenflo (LS) and Lü hyper chaotic system, is studied by applying an adaptive control method. The adaptive controllers and corresponding parameter update rules are constructed to make the states of two diverse hyper chaotic systems asymptotically synchronize up to the desired scaling matrix and to estimate the uncertain parameters. The numerical simulations are provided to show the effectiveness of the results.