A method and system for measuring, determining and/or analyzing the cranking RPM of a vehicle is provided. The system measures the voltage of at least a portion of a vehicle's electrical system to determine high and/or low voltage time periods during at least a portion of a starting or cranking cycle. The time between high and/or low voltage points can then be used, along with the number of cylinders in the vehicle, to determine the cranking RPM of the vehicle. The system may include a load module and a control module that are removably coupled to one another in first and second configurations.

A method and system for measuring, determining and/or analyzing the cranking RPM of a vehicle is provided. The system measures the voltage of at least a portion of a vehicle's electrical system to determine high and/or low voltage time periods during at least a portion of a starting or cranking cycle. The time between high and/or low voltage points can then be used, along with the number of cylinders in the vehicle, to determine the cranking RPM of the vehicle. The system may include a load module and a control module that are removably coupled to one another in first and second configurations.

A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.

A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.

The present embodiments related to a machinery failure evaluation system and associated method. The system may receive time-series data associated with a piece of machinery. An anomaly associated with the piece of machinery may automatically be determined by comparing the time-series data with a model associated with the piece of machinery. Furthermore, it may be determined that the anomaly is not a known fault based on performing a lookup of known failure modes. In a case that the anomaly is not a known fault, an alert associated with an unknown failure mode may be transmitted.

An engine testing apparatus is provided with a memory portion for storing a control command value obtained when the rotation speed of a dynamometer is changed by the control command value in accordance with the change of the engine rotation speed in a real vehicle in a period in which the engine behavior in a real vehicle is reproduced without connecting the dynamometer to an engine under test. The engine testing apparatus is provided with an output portion that supplies the control command value stored in the memory portion to the dynamometer with reference to an engine output signal showing the start of the reproducing period.

An engine testing apparatus is provided with a memory portion for storing a control command value obtained when the rotation speed of a dynamometer is changed by the control command value in accordance with the change of the engine rotation speed in a real vehicle in a period in which the engine behavior in a real vehicle is reproduced without connecting the dynamometer to an engine under test. The engine testing apparatus is provided with an output portion that supplies the control command value stored in the memory portion to the dynamometer with reference to an engine output signal showing the start of the reproducing period.

A vane intended to be mounted in a supply fluid pattern, includes a blade delimited in a lateral direction by an outer surface, the blade housing a data routing channel and having a groove leading to the outer surface and which communicates with the data routing channel, and data collecting means for collecting data on one of the outer surface of the blade and the vicinity thereof, the data collecting means being connected, through the groove, to the data routing channel, or extending there through. The data collecting means include one of an inserted tube and a cable, and the groove is formed in one of the outer surface opposite that whereto the inserted tube and the cable leads, and the blade that includes an orifice passing therethrough the outer surface.

Non-destructive evaluation optical inspection systems include video cameras or other reflective-photonic optical instruments, such as laser profilometers or 3D white light laser dimensional scanners, which are incorporated in a camera head. The camera head is coupled to a distal end of a self-supporting and shape-retaining elongate deformable deployment tether. The deployment tether is bendable, for insertion through cavities of power generation machines and orientation of the camera head field of view on the internal area of interest. The deployment tether is capable of being deformed repeatedly, for inspection of different areas of interest. In some embodiments, interchangeable camera heads are selectively coupled to the deployment tether, so that a kit or family of different optical inspection instruments are available to carry out multiple types of inspections within a single or multiple types of power generation machinery.

Non-destructive evaluation optical inspection systems include video cameras or other reflective-photonic optical instruments, such as laser profilometers or 3D white light laser dimensional scanners, which are incorporated in a camera head. The camera head is coupled to a distal end of a self-supporting and shape-retaining elongate deformable deployment tether. The deployment tether is bendable, for insertion through cavities of power generation machines and orientation of the camera head field of view on the internal area of interest. The deployment tether is capable of being deformed repeatedly, for inspection of different areas of interest. In some embodiments, interchangeable camera heads are selectively coupled to the deployment tether, so that a kit or family of different optical inspection instruments are available to carry out multiple types of inspections within a single or multiple types of power generation machinery.