Abstract: A method includes steps of: performing preparation-phase measurements on a spindle of a machine tool to generate normal-condition signals; establishing a reference model based on the normal-condition signals; generating abnormal-condition signals based on the reference model and a preset damage value; utilizing principal components analysis (PCA) to characterize the normal-condition and abnormal-condition signals to obtain normal and abnormal probabilistic models, determining normal-condition and abnormal-condition reference curves based on the normal and abnormal probabilistic models; determining an alert-triggering line based on the abnormal-condition reference curve; determining a permissible range between the alert-triggering line and the normal-condition reference curve; and generating a warning signal when it is determined that a detection value falls outside of the permissible range, wherein the detection value is obtained based on application-phase measurements performed on the spindle.

Abstract: A mini cutting bit includes a shank and a cutting part. The cutting part has a first spiral portion and a second spiral portion parallelly and twistedly formed thereon. The cutting part further has two chip removal flutes between the first and the second spiral portions. The first spiral portion has a first chip breaking flute on a top thereof while the second spiral portion has a second chip breaking flute. Widths of the first and the second chip breaking flutes are smaller than that of the tops of the first and the second spiral portions respectively.

Abstract: A mini cutting bit includes a shank, a cutting part and a bit tip, wherein the cutting part has opposite ends connected to the shank and the bit tip. The bit tip and the cutting part are made of different materials, and the bit tip is harder than the cutting part.

Abstract: Described are systems and techniques to generate data for display to present visualizations of data acquired from sensors in a facility. The data visualizations may be used to develop, configure, administer, or otherwise support operation of the facility. In one implementation, the visualization may include a view incorporating aggregated images acquired from multiple cameras, depth data, tracking information about objects in the facility, and so forth. An analyst may use the data visualization to determine occurrence of an action in the facility such as a pick of an item, place of an item, what item was involved with an action, what user was involved with the action, and so forth. Based on the information presented by the data visualization, changes may be made to data processing parameters.

Abstract: A faucet includes a faucet body including a half spherical, concave seat and a passageway having one end communicating with the seat; an externally threaded, hollow connector secured to the faucet body and communicating with the other end of the passageway; a ball valve including a hollow ball rotatably disposed in the seat, a channel communicating with the ball, and a port in the ball; a bonnet releasably secured to the faucet body and including a truncated, conic hole with the channel passing through and a portion of the ball disposed therein; a faucet spigot threadedly secured to the channel; a first O-ring disposed between the passageway and the ball; and a second O-ring disposed between the seat and the ball. In a first position the port communicates with the passageway. In a second position the port does not communicate with the passageway.

Abstract: Described are systems and techniques to generate data for display to present visualizations of data acquired from sensors in a facility. The data visualizations may be used to develop, configure, administer, or otherwise support operation of the facility. In one implementation, the visualization may include a view incorporating aggregated images acquired from multiple cameras, depth data, tracking information about objects in the facility, and so forth. An analyst may use the data visualization to determine occurrence of an action in the facility such as a pick of an item, place of an item, what item was involved with an action, what user was involved with the action, and so forth. Based on the information presented by the data visualization, changes may be made to data processing parameters.