A method and an apparatus for optimizing diagnostics of rotating equipment is provided. The apparatus includes a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, device for providing an amount of textual diagnostic knowledge cases, device for extracting semantic information on text features from the textual diagnostic knowledge cases, and device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.

An estimating device includes a storage unit that stores in association with each other state history information showing, as a history, a state of electrical equipment in which an abnormality has occurred, and cause history information showing, as a history, a cause of the abnormality, an acquisition unit that acquires state information indicating the state of the electrical equipment in which the abnormality has occurred, a detection unit that detects, from among a plurality of the state history information stored in the storage unit, at least one of the state history information that is similar to the state information acquired by the acquisition unit, and a notification unit that issues a notification concerning the cause of the abnormality, on the basis of the cause history information that is associated with the state history information detected by the detection unit.

A system checks for abnormality in a machine tool and regardless of power interruption of the machine tool. A system for remote control of production equipment is installed in a management apparatus for the production equipment by receiving operational state information of a machine tool and transmitting the data thereof to a server. The system includes at least one sensor installed in the main body of the machine tool to collect operational information data thereof and transmit the same to the server. The sensor includes a dual power supply having a first external power source supplied with external power in communication with the machine tool and a second power source formed of a battery independent of the external power. A sensor communication network transmits the collected data to the server, whereby causes of failure may be judged by determining whether data communication with the server is executed.

A system for online maintenance of a manufacturing apparatus, for shortening manufacturing apparatus maintenance time, including a user's data accumulator sorting information from the manufacturing apparatus into normal apparatus-management information and urgency information that is promptly sent by email to a maintenance apparatus and to relevant terminals. The system includes (1) a production line including a gateway, a manufacturing apparatus, and a data accumulator, the latter two connected to the gateway; and (2) a maintenance apparatus including a gateway server, a server, and a diagnostic device, the latter two connected to the gateway server. The data accumulator includes a data-gathering unit for accumulating manufacturing apparatus operation data, and a data-evaluation unit for determining whether there is an urgency regarding the accumulated data. If the data-evaluation unit determines that the operation data shows an abnormality and that there is an urgency, it sends an urgency-information email message to the mail server.

An operating state acquisition apparatus 20a includes a detector 21a retrofitted to be mounted on a production equipment 31 disposed on a manufacturing line L1, or retrofitted to be disposed in a vicinity of the production equipment 31, the detector outputting a detection signal indicating an operating state of the production equipment. The operating state acquisition apparatus 20a includes a transmitter 21a configured to transmit a detection signal to a management apparatus 10.

A system for online maintenance of a manufacturing apparatus, for shortening manufacturing apparatus maintenance time, including a user's data accumulator sorting information from the manufacturing apparatus into normal apparatus-management information and urgency information that is promptly sent by email to a maintenance apparatus and to relevant terminals. The system includes (1) a production line including a gateway, a manufacturing apparatus, and a data accumulator, the latter two connected to the gateway; and (2) a maintenance apparatus including a gateway server, a server, and a diagnostic device, the latter two connected to the gateway server. The data accumulator includes a data-gathering unit for accumulating manufacturing apparatus operation data, and a data-evaluation unit for determining whether there is an urgency regarding the accumulated data. If the data-evaluation unit determines that the operation data shows an abnormality and that there is an urgency, it sends an urgency-information email message to the mail server.

An example method includes determining an expected sound profile corresponding to a given task for a robotic device. The method further includes detecting a sound profile during execution of the given task by the robotic device. The method also includes determining one or more differences in amplitude for at least one frequency range between the detected sound profile and the expected sound profile corresponding to the given task for the robotic device. In response to determining the one or more differences in amplitude for the at least one frequency range between the detected sound profile and the expected sound profile, the method additionally includes identifying at least one component of the robotic device associated with the detected sound profile during execution of the given task. The method further includes adjusting control data for the at least one component of the robotic device.

A method and an apparatus for optimizing diagnostics of rotating equipment, in particular a gas turbine is provided. The apparatus includes: a) a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, b) a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, c) whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, d) device for providing an amount of textual diagnostic knowledge cases, e) device for extracting semantic information on text features from the textual diagnostic knowledge cases, and f) device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.

A remote machining optimization system for a machine tool is provided, which includes an input unit configured to input a machining parameter including a spindle speed and a cut depth; a receiving unit configured to receive sound signals and vibration signals from the machine tool; a processing unit configured to generate a machining program with a program generating module, to modify the spindle speed and the cut depth according to the sound signals with a speed optimization module and a depth optimization module, respectively; a communication unit configured to send the machining program to the machine tool; and a storage unit configured to store the modified spindle speed and the cut depth.

A method and arrangement for providing access of a first computer to at least one application installed on a virtual machine of a second computer via a network connection, wherein at a first step, a Remote Desktop Protocol connection (RDP-C) is established from the first computer to the virtual machine and, at a second step, at least one communication relation of the first computer to an industrial controller is made available to the at least one application as a local communication relation of the application from the virtual machine to the first computer via a virtual channel of the RDP-C connection such that from a user's perspective, only exactly one connection to the virtual machine must be established via the RDP-C, where required back channels can be automatically established and where no security settings must be changed in firewalls or routers.