A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle at the future points in time using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. The change in the energy level comprises a function of corresponding future input vectors and an associated weighting vector. The change in the energy level is predicted based on a regression analysis of the energy level associated with each of the reference input vectors.

Methods and systems are disclosed for predicting an outcome associated with a driver of a vehicle using a machine learning statistical model. The disclosed techniques include obtaining a plurality of input vectors for plurality of points in time, wherein each input vector includes a plurality of variables with a weight vector. Each variable represents data captured from a sensor or a data source. A training dataset for the machine learning model is created by capturing the values of outcome of interest for various values of each input vector for each point in time. The outcome of interest is the predicted by utilizing the machine learning model. In various embodiments, the predicted outcome of interest may be a risk or an energy consumption level associated with the driver.

The present application relates to a method for determining an efficiency and/or for calibrating a torque of a drivetrain (1), in particular a drivetrain (1) of a wind turbine. The method for determining an efficiency and/or for calibrating a torque of a drivetrain (1), in particular of a drivetrain of a wind turbine, is particularly suited for carrying out on a test rig and comprises two tests. The drivetrain has a motor-side end at a main shaft connectable to a motor and a generator-side end, between which ends a generator is arranged. In a first test, the motor-side end of the drivetrain (1) is driven. A variable dependent on the main shaft torque is thereby determined at the motor-side end of the drivetrain (1) and an electrical power P.sub.elec is determined at the generator-side end of the drivetrain (1). In a second test, the generator-side end of the drivetrain (1) is driven and the variable dependent on the main shaft torque is likewise determined at the motor-side end and the electrical power P.sub.elec is determined at the generator-side end. An efficiency and/or calibration parameters is/are determined from the electrical power values and the variables dependent on the main shaft torque determined in the first test and in the second test.

The present application relates to a method for determining an efficiency and/or for calibrating a torque of a drivetrain (1), in particular a drivetrain (1) of a wind turbine. The method for determining an efficiency and/or for calibrating a torque of a drivetrain (1), in particular of a drivetrain of a wind turbine, is particularly suited for carrying out on a test rig and comprises two tests. The drivetrain has a motor-side end at a main shaft connectable to a motor and a generator-side end, between which ends a generator is arranged. In a first test, the motor-side end of the drivetrain (1) is driven. A variable dependent on the main shaft torque is thereby determined at the motor-side end of the drivetrain (1) and an electrical power P.sub.elec is determined at the generator-side end of the drivetrain (1). In a second test, the generator-side end of the drivetrain (1) is driven and the variable dependent on the main shaft torque is likewise determined at the motor-side end and the electrical power P.sub.elec is determined at the generator-side end. An efficiency and/or calibration parameters is/are determined from the electrical power values and the variables dependent on the main shaft torque determined in the first test and in the second test.

A rotating power tool is provided. The rotating power tool may include a bevel gear set having a bevel gear and a conductive spiral disposed on the bevel gear. The conductive spiral may be configured to, in response to the bevel gear deforming due to a torque being applied to the bevel gear, change a resistance of the conductive spiral. The rotating power tool may further include an antenna electrically connected to the conductive spiral. The antenna may be configured to emit an output signal at a frequency that is based on the resistance value of the conductive spiral. The frequency of the output signal may be indicative of an amount of torque being applied to the bevel gear.

A rotating power tool is provided. The rotating power tool may include a bevel gear set having a bevel gear and a conductive spiral disposed on the bevel gear. The conductive spiral may be configured to, in response to the bevel gear deforming due to a torque being applied to the bevel gear, change a resistance of the conductive spiral. The rotating power tool may further include an antenna electrically connected to the conductive spiral. The antenna may be configured to emit an output signal at a frequency that is based on the resistance value of the conductive spiral. The frequency of the output signal may be indicative of an amount of torque being applied to the bevel gear.

A bicycle (10) includes a frame (25) having a bottom bracket (40), a crankset (35) attached to the bottom bracket (40), a pedal (50) coupled to the crankset (35) and operable to propel the bicycle (10) in response to a force acting on the pedal (50). The bicycle further includes a first bicycle component acted upon by the pedal (50) in response to the force, a second bicycle component coupled and responsive to the first bicycle component, and a power vector sensor (85) coupled to and positioned between the first bicycle component and the second bicycle component, and the power vector sensor (85) includes a sensor element (100) to sense a force transferred from the first bicycle component to the second bicycle component and indicative of the force acting on the pedal (50).

A non-transitory computer readable medium stores instructions that are executed by a processor of a monitoring that when executed, the processor receives a state of at least one operational parameter of the turbomachinery. Then, the processor determines whether the state is within a region of accuracy of a stored record of a stored state stored in the memory. When the state is within the region of accuracy, the processor determines at least one operating condition from the stored record. Alternatively, when the state is not within the first region of accuracy, the processor stores the state as a new record in the memory.

A non-transitory computer readable medium stores instructions that are executed by a processor of a monitoring that when executed, the processor receives a state of at least one operational parameter of the turbomachinery. Then, the processor determines whether the state is within a region of accuracy of a stored record of a stored state stored in the memory. When the state is within the region of accuracy, the processor determines at least one operating condition from the stored record. Alternatively, when the state is not within the first region of accuracy, the processor stores the state as a new record in the memory.

Method for measuring torque in rotating-equipment, turbo-machinery, pumps, turbines, and compressors. The measured torque can be used as an input to control torque, power, or energy efficiency. The method can also measure force (or torque) in traversing-machinery or vehicles such as automobiles, ships, aircraft, bicycles and motorcycles. The method takes real-time rotating (or linear) speed measurements, applies the discrete form of equations of motion, captures the natural decay curve(s) of the machine to estimate the torque (or force) associated with the losses of the power sink, and then solves for the driving torque of the power source. The method relates to monitoring and control systems used to safely and efficiently operate rotating-equipment and traversing-machinery. The method can be used to determine a health index of a machine to make predictive and corrective maintenance, reliability, performance, safety, and efficiency-related decisions. It is accurate, robust, lightweight, space-saving, and low cost.