A system for determining at least one mechanical property of a mechanical power transmitter may use thermal sensor data. The system may include the mechanical power transmitter; at least one thermal sensor disposed on or in the mechanical power transmitter; and a controller configured to receive data from the at least one thermal sensor and to process the data using a model based on machine learning to determine the at least one mechanical property of the mechanical power transmitter.

Methods and systems for operating a transmission that includes one or more dog clutches are described. In one example, a torque capacity of a gear is estimated from an engagement depth of the dog clutch, and the gear may be held or shifted according to the torque capacity of the gear and a commanded torque.

An actuator assembly may comprise a screw shaft having a shaft axis; a drive arrangement pivotally supported about the screw shaft axis for driving the screw shaft, e.g., about the shaft axis or along the shaft axis, and a rod mounted to the drive arrangement at a location off the shaft axis for providing a primary function of reacting torque about the shaft axis on the drive arrangement. The rod may comprise a rod axis and provide a load path along the rod axis for reacting torque. The rod may also comprise a device for which provides a secondary function for the actuator assembly based on the load experienced along the load path provided by the rod.

A planetary transmission for a wind turbine includes a bolt having a cylindrical outer surface and a gear having a cylindrical inner surface rotatably supported on the outer surface of the bolt. The cylindrical outer surface of the bolt and the cylindrical inner surface of the gear are configured to function as a plain bearing, and one or both of these surfaces may include a sliding layer formed from a low friction material.

Systems, methods and apparatuses of predictive maintenance of automotive transmission of vehicles. For example, the transmission has at least one sensor to measure a temperature in transmission fluid, the torque applied on a shaft of the transmission, a vibration sensor, and/or a microphone. During a period in which the vehicle is assumed to be operating normally, the sensor data generated by the transmission sensor(s) is used to train an artificial neural network to recognize the normal patterns in the sensor data. Subsequently, the trained artificial neural network is used to determine whether the current sensor data from the transmission sensor(s) are abnormal. A maintenance alert can be generated for the vehicle in response to a determination that the operations of the transmission are abnormal according to the artificial neural network and the current sensor data.

Various embodiments illustrated herein disclose a sprocket wear gauge. The sprocket wear gauge comprises a first plate having a first opening of a first diameter and a second plate having a second opening of a second diameter. The first plate is mounted on one end of adjacent sprocket teeth of a plurality of sprocket teeth of a sprocket wheel. The second plate is mounted on an opposite end of the adjacent sprocket teeth of a plurality of sprocket teeth of a sprocket wheel. The first plate and the second plate are attached to each other using screws. A cylindrical pin is placed between the adjacent sprocket teeth and is configured to pass through at least one of the first opening of the first plate and the second opening of the second plate.

Some embodiments of a gearbox for an irrigation system can comprise a housing, a worm gear within the housing, a bull gear within the housing and configured to be engaged with the worm gear, a diaphragm, and a vent. The diaphragm can define a chamber configured for expansion and contraction and configured to be positioned inside the housing to relieve pressure build-up within the housing. The vent can be configured to allow air to flow between the atmosphere and the chamber.

A wear detection method and system for a linear actuator such as a pneumatic cylinder, a hydraulic cylinder, an electric cylinder or the like. A physical amount detection sensor 9 is mounted on a linear actuator in which a push-pull member connected to a rod 2 pushes and pulls a pressure-receiving object while applying a lateral load in a direction different from the linear movement direction. An external force that is generated between a tube and the mounting member when the pressure-receiving object is pushed and pulled is detected by the physical amount detection sensor 9 and compared with standard external force data, which was detected in a state without abnormalities and stored in a computation/storage/determination processing device 10, to computationally determine whether the linear actuator is in a normal state or an abnormal state.

An individual chain wheel for a bicycle front crank arrangement for engaging in a drive chain includes a plurality of teeth formed on a circumference of the chain wheel and having a first and a second group of teeth. The teeth of the second group of teeth are arranged in an alternating manner between the teeth of the first group of teeth. Each tooth has a load flank via which force is transmitted between an adjacent roller of the drive chain and the respective tooth. Each tooth of the first group may also have at least one profile with an opening in the vicinity of the flank, in which a portion of an inner link plate of the drive chain, which portion protrudes beyond the roller, engages.

Embodiments disclosed herein may include methods, systems, and tangible, non-transient, computer-readable media having instructions thereupon for determining a damage state of a wind turbine gearbox. A method performed, executed on a processor of a system, or implemented by a processor as instructions, may comprise producing a damage state diagnostic, producing a damage progression model for the wind turbine gearbox using operational data and a state transition function, and combining the damage state diagnostic with the damage progression model using a hybrid prognostics model to produce a probability distribution of a current damage state estimate. Producing the damage state diagnostic may comprise obtaining a measurement dataset for the wind turbine gearbox, integrating field-operator-provided intelligence into the measurement dataset, normalizing the measurement dataset with respect to a known failure behavior for the wind turbine gearbox, and combining the normalized measurement dataset with the known failure behavior to produce the damage state diagnostic.