A machine state monitoring device is a machine state monitoring device that is intended for a motor drive device of a machine tool. The motor drive device includes: a motor; a converter and an inverter that adjust a power supply voltage; a power failure detection unit that acquires an input voltage of the motor drive device so as to detect a power failure in the motor drive device; and a communication unit that transmits, based on the result of the detection of the detection unit, a time when the power failure is started, and a time when the power failure is completed. The machine state monitoring device includes: a communication unit that receives information of the time when the power failure is started and the time when the power failure is completed from the communication unit of the motor drive device; and a storage unit that stores the information.

A rotating tool according to an aspect of the present disclosure is a rotating tool used in a state held by a tool holder, and the rotating tool includes a shaft portion having an end attached to the tool holder, a blade attaching portion or a blade portion provided at an end of the shaft portion opposite to the end, and a plurality of sensors attached to the shaft portion, and the plurality of sensors include an acceleration sensor and a strain sensor.

A monitoring apparatus for the identification of anomalies and degradation paths in a machine tool is disclosed. The monitoring apparatus includes a control system interfaceable with a machine tool and configured for making the machine tool execute a predetermined cycle of operations; a recording system interfaceable with a plurality of sensors in the machine tool, wherein the recording system is configured for collecting operation data of machine tool during the predetermined cycle of operations; and an analysis system configured for receiving the operation data and for executing a statistical and data mining analysis on the operation data, comparing a pattern of the operation data with a predetermined pattern, for identifying any anomalies and degradation paths.

Automatic system (1) for inspecting one cutting edge (2, 2′) of a ring shaped blade (3), wherein the ring shaped blade (3) is configured to be used in a plant for cutting one sheet of metallic material and extends around a central symmetry axis (y-y), the system (1) comprising: one supporting and moving group (4) rotatably mounted around one rotation axis (x-x) and configured to support the ring shaped blade (3) between at least one parking position and at least one reading position and for putting it in rotation around the rotation axis (x-x), wherein when the ring shaped blade (3) is supported in the at least one reading position, the rotation axis (x-x) is coincident with the central symmetry axis (y-y) of the ring shaped blade (3); one first emitting group (7), configured to emit at least one first inspection light beam (71) toward the supporting and moving group (4) and toward the cutting edge (2, 2′) of the ring shaped blade (3), when the blade is supported by the supporting and moving group (4); one second emitting group (8), configured to emit at least one second inspection light beam (81) toward the cutting edge (2, 2′) of the ring shaped blade (3); one first detecting group (9), configured to detect a first light beam reflected from the ring shaped blade (3), and one second detecting group (9′), configured to detect a second light beam reflected from the ring shaped blade (3), the first detecting group (9) and the second detecting group (9′) being both positioned at the supporting and moving group (4) and configured to detect the first light beam and second light beam reflected from the ring shaped blade (3), respectively, and output at least one respective detection signal (911, 912); one control and processing unit, configured to receive in input and process the at least one detection signal (911, 912), and output at least one quality index (I) of the cutting edge (2, 2′) of the ring shaped blade (3).

An abnormality determination apparatus of the present invention acquires state data from work equipment provided with an attaching part to which a plural kinds of work parts are attached in a replaceable manner, identifies the kind of a work part attached to the attaching part, sets, corresponding to the identified kind of the work part, abnormality determination data for determining an abnormality of the work equipment, acquires, from among state data acquired from the work equipment, state data of a time when the identified kind of the work part was being attached, and compares the acquired state data with the set abnormality determination data to determine an abnormality of the work equipment.

A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

An operator defines a process, such as a process for the manufacturing of a product, using templates that may be edited graphically. Each process includes a set of steps that a user must perform in order to accomplish the process. Each step in the process may be associated with one or more pieces of machinery on the floor to achieve the execution of the process, either in advance or at execution time. Each step may also provide various forms of instruction, monitoring, and feedback to aid the user of the associated machinery in performing the process. Data may be collected regarding the user's performance, analyzed, and used to inform the operator who may in turn edit the process with the goal of improving its execution.

A data collection device capable of reducing the load of a data collection process and network communication by monitoring trigger at a plurality of cycles is provided. The data collection device includes a control unit, and the control unit includes: an event monitoring unit that acquires first trigger information from the machine tool at a first cycle and monitors whether a starting condition and an ending condition for acquisition of the data have been established on the basis of the first trigger information; a sampling control unit that instructs the machine tool to sample the data at a second cycle shorter than the first cycle when the starting condition is established and instructs the machine tool to end the sampling when the ending condition is established; and a data acquisition unit that acquires the data sampled by the machine tool from the machine tool together with second trigger information.

A cutting apparatus includes a management unit having a measuring unit for measuring an amount of light emitted from a light emitter and received by a light receiver while a cutting blade is positioned between the light emitter and the light receiver, a measured waveform forming section for forming a measured waveform representing the configuration of an outer circumferential region of the cutting blade, and an ideal waveform recognizing section for recognizing one of the comparative waveforms that has the greatest number of waveform regions similar to the measured waveform as an ideal waveform, a difference calculating section for calculating the area of a region where there is a difference between the measured waveform and the ideal waveform.

The present disclosure relates to an apparatus and a method for detecting an abnormality of a tool of a machine tool, and more particularly, to an apparatus and a method for correcting backlash of a machine tool, which are capable of repeatedly measuring a load of a workpiece transferring unit or a workpiece machining unit, and automatically detecting an abnormality of a tool based on a normal range of load data that are proportional to a standard deviation of the load data measured based on any one of a mode value, a mean value, or a median value of the repeatedly measured load data.