Xiaoli Li

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This paper presents a simple method for on-line wear state monitoring and tool replacement decision-making using spindle motor and feed motor current signals in drilling. In the paper, the effects of tool wear as well as cutting parameters on the cutting current signals are analyzed. The models on the relationship between the current signals and the cutting(More)
A new method to monitor tool wear condition in real time using feed-motor current measured with the aid of inexpensive current sensors installed on the AC servomotor of a CN C turning centre is presented. To achieve this, the feed drive system model is analysed, the feed-motor current is measured, and the relations between feed-motor current, cutting force,(More)
We report on the implementation and hardware platform of a real time Statistics-Based Processing (SBP) method with depth of interaction processing for continuous miniature crystal element (cMiCE) detectors using a sensor on the entrance surface design. Our group previously reported on a Field Programmable Gate Array (FPGA) SBP implementation that provided a(More)
A new method for workpiece error analysis and compensation in turning is introduced. It is known that the workpiece error consists of two parts: machine tool error (including the geometric error and thermal-induced error) and cutting-induced error. The geometric error of the machine tool is independent on machining operation and, hence, can be measured(More)
A fuzzy similarity index is proposed to indicate the preictal state with EEG signal. First, during the process of calculating the correlation integral, a Heavyside function is replaced by a Gaussian function, which eliminates the effect of the crisp boundary of the Heavyside since the Gaussian function's boundary is not sharp. Second, using a real EEG to(More)
In the tool wear monitoring systems, one of the most important issues is to extract signal features from signal detected under given cutting conditions. This paper uses wavelet packet transforms method to extract features from acoustic emission (AE) signal. Wavelet packet transforms can decompose AE signal into different frequency bands in time domain, the(More)