National Chung Cheng University

Hiwin Technologies Corporation

Tongtai Machine & Tool Co., Ltd.

Ping-Chun Tsai

Wen-Nan Cheng

Chih-Chun Cheng

Yu-Hsin Kuo

Yu-Sheng Chiu

Wei-Jen Chen

Yin-Chun Cheng

Wen-Peng Tseng

Zhi-Xuan Zhang

Zhen-Wei Zhuang

De-Shin Liu

Yao-Huan Lei

Chih-Ta Wu

Shao-Rong Su

Kuan-Te Yu

Wen-Chieh Kuo

Ren-Zh Lu

Chen-Wei Chuang

Hsi-Hsun Cheng

A sensor placement optimization device is provided, which may include a preprocessing circuit and an operational circuit. The preprocessing circuit may perform a pre-process for the sensing signals of a plurality of temperature sensors, installed on a machine tool, to generate a pre-processed data. The operational circuit may execute a normalization for the pre-processed data to generate a normalized data, perform a principal component analysis for the normalized data to generate a dimensionality-reduced data and implement a principal component regression for the dimensionality-reduced data to obtain the contributions of the temperature sensors. Then, the operational circuit may rank the temperature sensors according to the contributions thereof to generate a ranking result and execute a screening process according to the ranking result to select at least one redundant sensor from the temperature sensors; afterward, the operational circuit may remove the redundant sensor from the temperature sensors.

Sensor placement optimization device and method thereof

A machine tool health monitoring method which is to use a predetermined plurality of vibration sensors on a plurality of components of a machine tool and to drive motors of the machine tool to excite the machine tool using an electronic device while the health status of the machine tool is good, and then to perform a diagnostic process to obtain a characteristic cluster consisting of a plurality of modals, and then to define the characteristic cluster as a sample health characteristic cluster. The diagnostic process includes the procedures of vibration transmissibility obtaining, singular value decomposition, curve fitting and modal establishing. In addition, excite the machine tool and proceed the diagnosis process to obtain a current health characteristic cluster. Finally, the current health characteristic cluster is compared with the sample health characteristic cluster to judge whether the machine tool is healthy or not.

Machine tool health monitoring method

A device for monitoring healthy status of machinery mounts is provided, which may include a plurality of vibration detectors, a signal acquisition device and a signal processor. The vibration detectors may detect the vibration signals from of a machine device, where the machine device may include a plurality of machinery mounts. The signal acquisition device may receive the vibration signals of the vibration detectors. The signal processor may execute a modal frequency analysis process to analyze the vibration signals of the vibration detectors, and calculate a vibration mode corresponding to the natural frequency of the machinery mounts in current status to serve as the test mode; then, the signal processor may compare the test mode with a reference mode to determine the healthy status of the machinery mounts, where the reference mode is corresponding to the natural frequency of the machinery mounts in the optimized status.

Device and method for monitoring healthy status of machinery mounts

A method for estimating a variation in a preload applied to a linear guideway of a machine tool includes steps of: a) obtaining, via each of vibration sensors, first and second vibration signals that are generated according to detection of vibration of a table disposed on the linear guideway respectively at first and second time instants; b) determining, via the computation module, first and second natural frequencies based on a theoretical mode shape and respectively on the first and second vibration signals; and c) determining, via the computation module, the variation in the preload based on the first and second natural frequencies.

Method for estimating a variation in preload applied to linear guideway

A spindle speed adjusting device in machining is provided, which may include a plurality of signal detection modules, a signal capturing module and a signal processing module. Each of the signal detection modules may keep measuring the vibration signals in machining. The signal capturing module may capture the vibration signals. The signal processing module may execute a transmissibility analysis to obtain the transmissibility between the signal detection modules, and execute a frequency response fitting according to the transmissibility to obtain a plurality of system dynamic parameters, and then execute a stability lobe diagram analysis to calculate the optimized spindle speed of the machining tool so as to make the machining tool operate at the optimized spindle speed. The signal processing module may repeatedly execute the transmissibility analysis, the frequency response fitting and the stability lobe diagram analysis to keep updating the optimized spindle speed until the machining process ends.

Spindle speed adjusting device in machining and method thereof

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Taipei, Taiwan

Ping-Chun Tsai