摘要:
A machine learning apparatus that learns a condition associated with a predicted life of a motor includes: a state observation unit that observes a state variable composed from at least one of output data of a sensor that detects an operation state of the motor and data relating to presence or absence of a failure in the motor; an actual life data acquisition unit that acquires data relating to an actual life of the motor; and a learning unit that learns the condition associated with the predicted life of the motor in accordance with a training data set created based on a combination of the state variable and the actual life.
摘要:
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.
摘要:
A collision position estimation device allowing extraction of data related to a torque of a section related to collision of a cushion member includes a machine learning device. The machine learning device includes a state observation unit for observing axis movement data indicating information related to movement of the axis and motor torque data indicating data related to torque of a motor driving the axis as a state variable representing a current state of an environment, a label data acquisition unit for acquiring collision position data indicating the position of the axis during collision of the cushion member as label data, and a learning unit for associating and learning the information related to movement of the axis and the data related to the torque of the motor driving the axis with the position of the axis during collision of the cushion member using the state variable and the label data.
摘要:
A motor according to an embodiment of the present invention has a stator including windings wound therein, and a rotor disposed inside the stator. The motor includes an electric circuit unit, and an induction generator coil disposed in the vicinity of a coil end of the winding so as to generate electric power by a change of magnetic flux generated by the winding. The electric circuit unit is driven by the electric power generated and fed by the induction generator coil.