Abstract: A front housing of an electric motor includes an air discharging member for discharging air toward a rotary shaft. The front housing includes an annular first air chamber that is formed in the air discharging member, and an annular second air chamber that is formed outside the first air chamber. The front housing includes an air supply path for supplying compressed air to the second air chamber, and a connection flow passage for causing the first air chamber to communicate with the second air chamber. The connection flow passage is formed at a position other than a position of the air supply path in the circumferential direction of the housing.

Abstract: A numerical control system detects a state amount indicating an operation state of a machine tool, creates a characteristic amount that characterizes the state of a machining operation from the detected state amount, infers an evaluation value of the operation state of the machine tool from the characteristic amount, and detects an abnormality in the operation state of the machine tool on the basis of the inferred evaluation value. The numerical control system generates and updates a learning model by machine learning that uses the characteristic amount, and stores the learning model in correlation with a combination of conditions of the machining operation of the machine tool.

Abstract: A motor includes a facing member having a part facing a rotary shaft, a seal member having elasticity, and an annular member supporting the seal member. Magnets are disposed on the outer circumferential surface of the rotary shaft. Coil units are disposed on the inner circumferential surface of the annular member. The annular member is rotated by a magnetic force in the same direction as the rotary shaft when the rotary shaft rotates. The seal member rotates with the annular member at a rotation speed that is lower than a rotation speed of the rotary shaft.

Abstract: A numerical control method at least controls a spindle motor of a machine tool so as to perform machining in accordance with machining conditions. In the method, vibration occurring in a tool is acquired with a vibration acquisition unit, and the machining on a workpiece performed by a machining control unit is stopped when vibration having a predetermined amplitude or greater occurs in the tool. Based on state data indicating the state of the spindle motor at that time, multiple compensation plans for compensating the state of the spindle motor in order to suppress vibration occurring in the tool are calculated. The thus calculated multiple compensation plans are displayed on a display unit together with the state of the spindle motor at the time of occurrence of vibration having the predetermined amplitude or greater in the tool.

Abstract: A spindle structure capable of accelerating the flow of a fluid in through holes of a rotor. The spindle structure includes a rotatable rotation part. The rotation part includes a tool holding part provided at an axial direction one end of the rotation part and through holes that penetrate the rotation part and open at the end in the axial direction. Further the spindle structure includes a vane provided in the through holes. When the rotation part rotates, the vane rotates with the rotation part to allow a fluid in the interior of the through holes to flow toward the end in the axial direction.

Abstract: A failure detection device includes a formaldehyde sensor that detects the generation of formaldehyde, a vibration sensor that detects vibration of a spindle head, and a machine controller that detects the occurrence of an abnormality of a spindle bearing. The machine controller determines the occurrence of the abnormality of the spindle bearing and a cause of the abnormality based on a change in the output value of the formaldehyde sensor over time and a change in the output value of the vibration sensor over time.

Abstract: A motor includes a rotor including a shaft and a rotor body, a bearing fitted to the shaft and rotatably holding the shaft, a bearing holder arranged on the opposite side to the rotor body so as to hold the bearing, a movement regulation member arranged closer to the rotor body than the bearing and separated to regulate movement of the bearing toward the rotor body, a first engagement part provided at the rotor body to be adjacent to the movement regulation member, a first engagement target part provided at the movement regulation member to be adjacent to the rotor body to be able to be engaged with the first engagement target part, a second engagement part provided at the movement regulation member, a second engagement target part provided at the bearing holder, and a coupling member that couples the bearing holder and the movement regulation member.

Abstract: Upon performing diagnosis of a machine tool, etc., data suited to diagnosis is acquired while also reducing the burden on the user. A diagnostic data acquisition system that acquires diagnostic data for diagnosing a machine tool includes: a control unit that controls driving of a mobile part of the machine tool based on control data; a timing generation unit that generates an acquisition timing for the diagnostic data based on the control data; and a diagnostic data acquisition unit that acquires data which varies accompanying driving of the mobile part according to control by the control unit, as the diagnostic data.

Abstract: An abnormality detecting device and method for detecting a symptom of a failure of a spindle of a machine tool before the spindle malfunctions. The abnormality detecting device for detecting an abnormality or malfunction includes a spindle motor and a motor controller. The motor controller includes a time measuring part which measures a spindle stopping time from when a free-run of the spindle motor accelerated to a predetermined number of rotations is started to when the spindle motor is stopped, a storing part which stores the spindle stopping time measured by the time measuring part, and a comparing part which compares a plurality of data with respect to the spindle stopping time stored in the storing part, and judges as to whether or not an abnormality exists in the spindle or the spindle motor.

Abstract: An electric motor is provided with an annular member supported by a cylindrical member of a front housing. The annular member includes an opposite part spaced from a surface of a ring member in a rotary shaft, which extends in the circumferential direction. The annular member includes first cover part opposed to first surface of the ring member, and second cover part opposed to second surface of the ring member. The first cover part and the second cover part are spaced from the ring member so that a pressure in a space sandwiched by the first cover part and the first surface is equalized with a pressure in a space sandwiched by the second cover part and the second surface.

Abstract: A front housing of an electric motor includes an air discharging member for discharging air toward a rotary shaft. The front housing includes an annular first air chamber that is formed in the air discharging member, and an annular second air chamber that is formed outside the first air chamber. The front housing includes an air supply path for supplying compressed air to the second air chamber, and a connection flow passage for causing the first air chamber to communicate with the second air chamber. The connection flow passage is formed at a position other than a position of the air supply path in the circumferential direction of the housing.

Abstract: A machine learning unit capable of judging the necessity of replacement of a spindle of a machine tool. A machine learning unit includes a state observing section observing a state variable comprising processing volume data showing a number of processed workpieces, processing accuracy data showing a difference between an actual dimension of a processed workpiece and a dimension target value, interruption time data showing a time period of interruption of operation of the machine tool, and replacement determination data showing a judgment result of a necessity of spindle replacement; and a learning section provided with profit-and-loss data comprising a profit per unit time or a loss per unit time, generated by a production of the processed workpiece, and a loss per unit time generated due to the spindle replacement. The learning section uses the profit-and-loss data and the state variable and learns a condition associated with the spindle replacement.

Abstract: A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.

Abstract: A centrifugal blower includes a rotation shaft, an impeller, a casing. The impeller includes a plurality of blades and a side panel. The casing accommodates the impeller and includes an air intake portion positioned adjacent to the side panel. The air intake portion includes a downstream end portion and an inner wall surface. The side panel includes an upstream end portion and an inner panel surface that is an inner surface of the side panel. The downstream end portion and the upstream end portion face each other across a space in an angular range. A difference between a smallest inner radius of the inner wall surface of the air intake portion and a smallest inner radius of the inner panel surface is smaller than or equal to a thickness of the side panel in the angular range.

Abstract: A machine learning unit capable of judging the necessity of replacement of a spindle of a machine tool. A machine learning unit includes a state observing section observing a state variable comprising processing volume data showing a number of processed workpieces, processing accuracy data showing a difference between an actual dimension of a processed workpiece and a dimension target value, interruption time data showing a time period of interruption of operation of the machine tool, and replacement determination data showing a judgment result of a necessity of spindle replacement; and a learning section provided with profit-and-loss data comprising a profit per unit time or a loss per unit time, generated by a production of the processed workpiece, and a loss per unit time generated due to the spindle replacement. The learning section uses the profit-and-loss data and the state variable and learns a condition associated with the spindle replacement.

Abstract: A spindle structure capable of accelerating the flow of a fluid in through holes of a rotor. The spindle structure includes a rotatable rotation part. The rotation part includes a tool holding part provided at an axial direction one end of the rotation part and through holes that penetrate the rotation part and open at the end in the axial direction. Further the spindle structure includes a vane provided in the through holes. When the rotation part rotates, the vane rotates with the rotation part to allow a fluid in the interior of the through holes to flow toward the end in the axial direction.

Abstract: An abnormality detecting device and method for detecting a symptom of a failure of a spindle of a machine tool before the spindle malfunctions. The abnormality detecting device for detecting an abnormality or malfunction includes a spindle motor and a motor controller. The motor controller includes a time measuring part which measures a spindle stopping time from when a free-run of the spindle motor accelerated to a predetermined number of rotations is started to when the spindle motor is stopped, a storing part which stores the spindle stopping time measured by the time measuring part, and a comparing part which compares a plurality of data with respect to the spindle stopping time stored in the storing part, and judges as to whether or not an abnormality exists in the spindle or the spindle motor.