A monitoring device for detecting a diagnostic state of an industrial machine on the basis of vibrations associated with the industrial machine, includes at least one measurement transducer for detecting at least one first signal characterizing the vibration of the industrial machine in a time period and for detecting at least one second signal characterizing the vibration of the industrial machine in the same time period, wherein the at least one measurement transducer has at least one signal processor for evaluating the at least first signal as a first characteristic value and for evaluating the at least second signal as a second characteristic value and wherein the at least one first characteristic value and the at least one second characteristic value form a characteristic value tuple, further having a storage unit, in which different diagnostic states describing the state of the industrial machine are saved, wherein the diagnostic states are determined as a function of the characteristic value tuple, and a predefined scalar range is saved with predetermined different fixed scalar values, which define respectively an existing limit potential, wherein a respective limit potential characterizes a change in the diagnostic state, and wherein between adjacent limit potentials a diagnostic partition is formed and wherein different scalar values from the scalar range are assigned to the different diagnostic partitions and wherein different respective diagnostic partitions represent different diagnostic states of the industrial machine, and wherein the monitoring device has at least one interpolation function for mapping the characteristic value tuple on a common, unique, time-dependent scalar value in the predefined scalar range, so that by way of the time-dependent scalar value a time monitoring of the diagnostic state of the industrial machine is achieved.

A deterioration diagnosis apparatus is for a mechanical apparatus including a power transmission mechanism that transmits power via a gear. The deterioration diagnosis apparatus includes: a storing unit that stores, in advance, a trend of change along with the operation of the mechanical apparatus, in consumption rate of an additive contained in lubricant used for the gear; and a determination unit that determines the period to be taken for the consumption rate of the additive to reach a predetermined value, based on the trend of change in the consumption rate of the additive.

A deterioration diagnosis apparatus is for a mechanical apparatus including a power transmission mechanism that transmits power via a gear. The deterioration diagnosis apparatus includes: a storing unit that stores, in advance, a trend of change along with the operation of the mechanical apparatus, in consumption rate of an additive contained in lubricant used for the gear; and a determination unit that determines the period to be taken for the consumption rate of the additive to reach a predetermined value, based on the trend of change in the consumption rate of the additive.

A diagnostic apparatus includes circuitry to determine a process number based on operation information that changes in accordance with an operation of a machine being a subject of diagnosis, and determine a state of the machine using corresponding one of a plurality of model parameters corresponding to the determined process number and state information that changes in accordance with the state of the machine. The process number indicates an order of a particular process in a plurality of processes executed by the machine.

A diagnostic apparatus (10) diagnoses the existence of an abnormality in a tool for processing of a processing target by each of multiple working machines. The diagnostic apparatus (10) includes an acquirer (110) and a diagnoser (160). The acquirer (110) acquires program identification information identifying a program executed in each of the working machines, tool information indicating a type of the tool applied to processing, and transition information indicating transition of load in the working machine from the start to the end of the processing executed by execution of the program, at execution of the processing in the working machine. The diagnoser (160) diagnoses whether an index value of the load obtained from the transition information is out of a predetermined range corresponding to a combination of the program identification information, the tool information, and machine information identifying the working machine that transmits the transition information.

A diagnostic apparatus (10) diagnoses the existence of an abnormality in a tool for processing of a processing target by each of multiple working machines. The diagnostic apparatus (10) includes an acquirer (110) and a diagnoser (160). The acquirer (110) acquires program identification information identifying a program executed in each of the working machines, tool information indicating a type of the tool applied to processing, and transition information indicating transition of load in the working machine from the start to the end of the processing executed by execution of the program, at execution of the processing in the working machine. The diagnoser (160) diagnoses whether an index value of the load obtained from the transition information is out of a predetermined range corresponding to a combination of the program identification information, the tool information, and machine information identifying the working machine that transmits the transition information.

An information processing device according to the present disclosure including: a mesh division unit (102) that divides at least part of first and second images captured at different times of a target area for detecting chips generated from a workpiece, into a plurality of mesh regions, the images each being an inside image of a machine tool; and an information processing unit (103) that performs processing to associate (a) information on a first chip corresponding to a specific mesh region among the plurality of the mesh regions corresponding to the first image, (b) information on a second chip corresponding to the specific mesh region among the plurality of the mesh regions corresponding to the second image, (c) a first time related to the first image, and (d) a second time related to the second image.

An information processing device according to the present disclosure including: a mesh division unit (102) that divides at least part of first and second images captured at different times of a target area for detecting chips generated from a workpiece, into a plurality of mesh regions, the images each being an inside image of a machine tool; and an information processing unit (103) that performs processing to associate (a) information on a first chip corresponding to a specific mesh region among the plurality of the mesh regions corresponding to the first image, (b) information on a second chip corresponding to the specific mesh region among the plurality of the mesh regions corresponding to the second image, (c) a first time related to the first image, and (d) a second time related to the second image.

A flexible monitoring system and corresponding methods of use are provided. The system can include a base containing backplane, and one or more monitoring circuits. The monitoring circuits can be designed with a common architecture that is programmable to perform different predetermined functions. As a result, monitoring circuits can be shared between different implementations of the flexible monitoring system. Multiple bases that can be communicatively coupled in a manner that establishes a common backplane between respective bases that is formed from the individual backplanes of each base. Each monitoring circuit is not limited to sending data to and/or receiving data from the backplane to which it is physically coupled but can instead can communicate along the common backplane. Computational processing capacity can be increased or decreased independently of input signals received by addition or removal of processing circuits from the monitoring system.

A flexible monitoring system and corresponding methods of use are provided. The system can include a base containing backplane, and one or more monitoring circuits. The monitoring circuits can be designed with a common architecture that is programmable to perform different predetermined functions. As a result, monitoring circuits can be shared between different implementations of the flexible monitoring system. Multiple bases that can be communicatively coupled in a manner that establishes a common backplane between respective bases that is formed from the individual backplanes of each base. Each monitoring circuit is not limited to sending data to and/or receiving data from the backplane to which it is physically coupled but can instead can communicate along the common backplane. Computational processing capacity can be increased or decreased independently of input signals received by addition or removal of processing circuits from the monitoring system.