An adjusting method is implemented by a control system and is used to adjust a multi-axis robotic arm including a plurality of motors. The adjusting method includes following operations. A decay rate of each motor is analyzed by the control system. When the decay rate of one of the motors exceeds a corresponding first threshold, a residual value of the one of the motors is further analyzed by the control system. When the residual value exceeds a first default value, an output capacity of at least one of the motors is adjusted by the control system.

A failure diagnosis system includes: a sensor; an abnormality determination unit that determines whether an abnormality occurs in a diagnosis target device corresponding to the sensor on the basis of diagnosis target information detected by the sensor; a screen display controller that identifiably notifies a diagnosis target device for which it is determined by the abnormality determination unit that the abnormality occurs; a layout setting unit that sets a facility layout of a facility; and a disposition setting unit that sets a disposition of each diagnosis target device in the facility layout. The screen display controller identifiably notifies a diagnosis target device associated with a sensor that detects diagnosis target information that is a basis of the determination that the abnormality occurs, in a disposition screen display region 521 in which diagnosis information acquisition units are disposed on the facility layout.

A servomotor control device includes: a servomotor; a driven body that is driven by way of the servomotor; a connection mechanism that connects the servomotor and the driven body to transmit power of the servomotor to the driven body; and a motor control unit that controls the servomotor, in which the motor control unit includes: a force acquisition section that acquires a drive force acting on the driven body at a connection part between the connection mechanism and the driven body; and a rigidity estimation section that estimates a magnitude of rigidity of the connection mechanism, based on position information of the servomotor and a drive force acquired by the force acquisition section when causing the servomotor to rotate in a state mechanically fixing the driven body.

Provided are an automatic analysis device and a maintenance support system which prevent a failure that occurs between regular inspection periods to thereby reduce the downtime of the automatic analysis device. A maintenance support system acquires, from each of a plurality of automatic analysis devices (100), pulse information transmitted from the automatic analysis device (100) provided with a mechanism which is driven by a pulse motor, and a transmission means which transmits pulse information including tow among a driving pulse value for driving the pulse motor, a consumed pulse amount that is a pulse amount consumed when the pulse motor has actually been driven, and a remaining pulse amount obtained by subtracting the consumed pulse amount from the driving pulse value, and stores at least the consumed pulse amount.

Provided is a tool life estimating device that enables estimation of a life of a tool used in a machine tool according to changes in machining conditions. The tool life estimating device includes a state observation unit that acquires machining information indicative of a status of the machining in a state where the life of the tool remains sufficiently, wherein the machining information is acquired from log data recorded while the machine tool is operated, and creates input data based on the machining information that has been acquired; a learning unit that constructs a learning model in which clusters of the machining information are created by unsupervised learning using the input data that has been created by the state observation unit; and a learning model storage unit that stores the learning model.

An adjusting method is implemented by a control system and is used to adjust a multi-axis robotic arm including a plurality of motors. The adjusting method includes following operations. A decay rate of each motor is analyzed by the control system. When the decay rate of one of the motors exceeds a corresponding first threshold, a residual value of the one of the motors is further analyzed by the control system. When the residual value exceeds a first default value, an output capacity of at least one of the motors is adjusted by the control system.

A tool management system of machine tools includes a reader, a receiver, a storage unit, a processor and a control unit. The reader is configured for reading at least one category parameter of the tool according to a tool index code of the tool. The receiver is configured for receiving real-time process information of the tool with a preset periodicity. The storage unit is configured for storing the tool index code, the category parameter, and the real-time process information. The processor is configured for processing a weighting algorithm to obtain a result according to the category parameter and the real-time process information. The control unit is configured for sending a control instruction according to the result.

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.

A data collecting processing part of a machine tool collects data indicating a state of a component at any time and sends the data. A maintenance timing prediction device has a collection data storing part that stores the data, a component replacement history storing part that stores a replacement history of the component, and a component lifetime prediction processing part that predicts a lifetime as the next replacement timing of the component. The component lifetime prediction processing part extracts data indicating a similar trend at the past replacement date of the component by referring to the component replacement history storing part and the collection data storing part, and predicts a threshold as data at the next replacement timing based on the latest replacement date of the component and the trend according to the extracted data, and predicts the lifetime based on the threshold.

A joint of a robot comprises a servo motor, a speed reducer driven by the servo motor, and an output-side encoder for measuring a rotation angle of the output-side rotation shaft of the speed reducer, and the position/orientation of the robot is controlled by the joint. The present invention, which aims to be able to detect certainly and at a high speed the state of the speed reducer, is characterized by driving the joint via the speed reducer by rotating the servo motor, obtaining a resonance amplitude of the joint from the rotation angle obtained from the output-side encoder, and thus diagnosing the lifetime of the speed reducer according to the obtained resonance amplitude of the joint.