Abstract: 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.

Abstract: A method for predicting and compensating frictions of a feed system includes following steps: constantly obtaining current signals and angle-position signals of a motor by a motor driver of a feed system after being activated; calculating frictions of the motor upon each rotating position according to the obtained current signals and angle-position signals and generating multiple records of friction data; creating a friction model according to the multiple records of friction data and the angle-position signals each respectively corresponding to each record of friction data with respect to each rotating position; importing current angle-position signal of the motor to the friction model for predicting a predicted friction; calculating a compensation current based on the predicted friction; and, controlling the motor driver to additionally provide the compensation current to the motor for conquering an upcoming friction of the feed system approximate to the predicted friction.

Abstract: A method for predicting and compensating frictions of a feed system includes following steps: constantly obtaining current signals and angle-position signals of a motor by a motor driver of a feed system after being activated; calculating frictions of the motor upon each rotating position according to the obtained current signals and angle-position signals and generating multiple records of friction data; creating a friction model according to the multiple records of friction data and the angle-position signals each respectively corresponding to each record of friction data with respect to each rotating position; importing current angle-position signal of the motor to the friction model for predicting a predicted friction; calculating a compensation current based on the predicted friction; and, controlling the motor driver to additionally provide the compensation current to the motor for conquering an upcoming friction of the feed system approximate to the predicted friction.

Abstract: 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.

Abstract: 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.

Abstract: A composite layer for use in a lithium-based battery is disclosed. The composite layer comprises a fibrous film and an inorganic additive, wherein there is a weight ratio of the fibrous film to the inorganic additive, and the weight ratio is in a range between 5:95 and 20:80. It is worth explaining that, by letting a lithium-based battery like Li metal battery be integrated with the proposed composite layer, not only does the formation of lithium dendrite be significantly suppressed, but the decomposition of electrolyte is also effectively inhibited. Moreover, the most important thing is that, by letting the lithium-based battery be integrated with the proposed composite layer, capacity retention and coulombic efficiency of the lithium-based battery are both significantly enhanced.

Abstract: 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.

Abstract: An endoscopy auxiliary device includes an insertion tube and a clamping unit. The clamping unit has a pipe and a connector. The connector is connected to the insertion tube. The tube is configured to clamp a capsule endoscope. The pipe has an inner space configured to accommodate a part of the capsule endoscope. The pipe includes a first slit, a second slit and a third slit. The first slit extends from a free end of the pipe for a first distance toward a connection end of the pipe. The second slit extends from the free end of the pipe for the connection distance toward the connection end of the pipe. The third slit extends from the free end of the pipe for a third distance toward the connection end of the pipe. The first slit, the second slit and the third slit are separate.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A bandsaw machine health monitoring system includes a sensing module, a signal processing module, a human-machine interface module and a control module. The sensing module may include a plurality of sensing devices and these sensing devices can collect a plurality of signals from a bandsaw machine in operation. The signal processing module can be electrically connected to the sensing module and the signal processing module can process the signals collected by the sensing module. The control module can analyze the processing result transmitted from the signal processing module. The human-machine interface module can receive the analysis result of the control module and display the health status value of the bandsaw machine.

Abstract: An endoscopy auxiliary device includes an insertion tube and a clamping unit. The clamping unit has a pipe and a connector. The connector is connected to the insertion tube. The tube is configured to clamp a capsule endoscopy. The pipe has an inner space configured to accommodate a part of the capsule endoscopy. The pipe includes a first slit, a second slit and a third slit. The first slit extends from a free end of the pipe for a first distance toward a connection end of the pipe. The second slit extends from the free end of the pipe for the connection distance toward the connection end of the pipe. The third slit extends from the free end of the pipe for a third distance toward the connection end of the pipe. The first slit, the second slit and the third slit are separated from each other.

Abstract: A system for the monitoring a preload in a ball screw includes a ball screw, a detecting device, a capturing device and a processing device. The ball screw has a preload. The detecting device detects an operating signal of the ball screw. The operating signal contains information about the ball screw's rotating speed and status. The status refers to a vibration or a sound generated by the operating ball screw. The capturing device is connected to the detecting device and acquires the operating signal. The processing device is connected to the capturing device, and has a threshold. The processing device processes and converts the operating signal into a ball-passing signal. When the ball-passing signal surpasses the threshold, the processing device determines that the ball screw's preload has vanished. Thereby, the system is enabled to determine the current state of the ball screw's preload reliably.

Abstract: A handsaw machine health monitoring system includes a sensing module, a signal processing module, a human-machine interface module and a control module. The sensing module may include a plurality of sensing devices and these sensing devices can collect a plurality of signals from a handsaw machine in operation. The signal processing module can be electrically connected to the sensing module and the signal processing module can process the signals collected by the sensing module. The control module can analyze the processing result transmitted from the signal processing module. The human-machine interface module can receive the analysis result of the control module and display the health status value of the handsaw machine.

Abstract: A gastrointestinal tract diagnosis device, comprising: an endoscope having a substrate and a control unit and a recognition marker therein; an image capturing module including a first lens and an image sensor that are disposed on the substrate; an illuminating module including a first light source disposed on the substrate; an enclosure body assembled to a connection device to waterproofingly enclose the image capturing module and the illuminating module; and a work station connecting to the endoscope to access the recognition marker to add a machine identity into the recognition marker to match with the endoscope, wherein the work station determines if a usage state of the endoscope is overdue; the work station determines if the endoscope has connected to an another work station different from the work station by the recognition marker and the machine identity. A control method based on the above device is also provided.

Abstract: A gastrointestinal tract diagnosis device comprising: an endoscope, having a magnetic plate with a first magnetic pole and a second magnetic pole; a magnetic control device including a magnetic stick with a first electrical magnetic pole and a second electrical magnetic pole, a magnetic force output module causing a predetermined force on the first electrical pole and the second magnetic pole by outputting a predetermined current; and a magnetic force feedback module, wherein the predetermined force is applied to the magnetic plate to control the movement of the endoscope; the magnetic plate causes a feedback magnetic force to a sensor in the magnetic stick and changes the predetermined current to an offset current, and the offset current is corrected back to the predetermined current by the magnetic force feedback module, so as to improve the movement control of the endoscope. A control method based on the above disclosure is provided, too.