A method of monitoring the usage of an internal combustion engine comprises performing an engine monitoring routine using a local monitoring device attached to an internal combustion engine. The engine monitoring routine includes generating data representative of a plurality of vibrations of an internal combustion engine using a vibration sensor of the local monitoring device, processing the generated data to determine a first value representative of a firing frequency of the internal combustion engine, generating an aggregated summary based on the first value and transmitting the aggregated summary and identification data for the local monitoring device to a remote application. The remote application processes the transmitted aggregated summary based on the identification data to determine engine speed usage data.

A method of monitoring the usage of an internal combustion engine comprises performing an engine monitoring routine using a local monitoring device attached to an internal combustion engine. The engine monitoring routine includes generating data representative of a plurality of vibrations of an internal combustion engine using a vibration sensor of the local monitoring device, processing the generated data to determine a first value representative of a firing frequency of the internal combustion engine, generating an aggregated summary based on the first value and transmitting the aggregated summary and identification data for the local monitoring device to a remote application. The remote application processes the transmitted aggregated summary based on the identification data to determine engine speed usage data.

A system may include a device. The device may be configured to receive machine vibration data identifying a measure of vibration of a machine. The vibration, of the machine, may be caused by a combination of first vibration caused by a motion of components of an undercarriage of the machine and second vibration that is unrelated to the first vibration. The device may be configured to identify a segment, of the machine vibration data, corresponding to the first vibration; transform the segment, using a Fast Fourier Transform (FFT), into a signal in a frequency domain; and analyze the signal to identify a signature spectrum associated with the motion of components. The device may be configured to predict, based on the signature spectrum, an amount of wear of the components. The device may be configured to cause an action to be performed based on the amount of wear of the components.

A method that may include obtaining environmental parameters related to one or more routes of a trip for a first vehicle system, and determining one or more expenditure sections and one or more charging sections of the one or more routes by predicting where the first vehicle system will consume energy and where the first vehicle system will generate the energy, respectively, during the trip based on the environmental parameters. A first trip plan may be obtained for the trip based on the one or more expenditure sections and the one or more charging sections, the trip plan designating one or more operational settings for the first vehicle system for travel during the trip.

A method that may include obtaining environmental parameters related to one or more routes of a trip for a first vehicle system, and determining one or more expenditure sections and one or more charging sections of the one or more routes by predicting where the first vehicle system will consume energy and where the first vehicle system will generate the energy, respectively, during the trip based on the environmental parameters. A first trip plan may be obtained for the trip based on the one or more expenditure sections and the one or more charging sections, the trip plan designating one or more operational settings for the first vehicle system for travel during the trip.

A device for AI-based vehicle diagnosis using CAN data may include an engine; a vibration sensor mounted in an engine compartment in which the engine is mounted and configured for detecting a vibration signal; and a controller area network (CAN) communicating with one or more of an environmental condition, a vehicle status, an engine status, and an engine control parameter, wherein data preprocessing from the vibration sensor and the CAN is performed to determine features in which correlation between vibration data (dB) exceeding a threshold value of irregular vibrations being generated by the engine and the CAN data is equal to or greater than 90%.

A device for AI-based vehicle diagnosis using CAN data may include an engine; a vibration sensor mounted in an engine compartment in which the engine is mounted and configured for detecting a vibration signal; and a controller area network (CAN) communicating with one or more of an environmental condition, a vehicle status, an engine status, and an engine control parameter, wherein data preprocessing from the vibration sensor and the CAN is performed to determine features in which correlation between vibration data (dB) exceeding a threshold value of irregular vibrations being generated by the engine and the CAN data is equal to or greater than 90%.

A method of monitoring an operating event of a combustion engine includes receiving a noise signal sensed by a knock sensor disposed in or proximate to the combustion engine, correlating the noise signal with a musical instrument digital interface (MIDI) fingerprint having at least an ADSR envelope indicative of the operating event, and detecting if the operating event has occurred based on the correlating of the noise signal with the fingerprint.

A method of monitoring an operating event of a combustion engine includes receiving a noise signal sensed by a knock sensor disposed in or proximate to the combustion engine, correlating the noise signal with a musical instrument digital interface (MIDI) fingerprint having at least an ADSR envelope indicative of the operating event, and detecting if the operating event has occurred based on the correlating of the noise signal with the fingerprint.

A method for evaluating a vibration behavior of an electric motor includes: determining a vibration value of the electric motor by measuring an acceleration and/or speed of vibrations of the electric motor using a vibration sensor of the electric motor, wherein vibrations are measured in at least one direction, said vibration value representing each of the at least direction measured, determining a current rotational speed (n) of the electric motor, comparing said vibration value with a reference value for the current rotational speed, and determining an evaluation measure for evaluating the vibration behavior of the electric motor based on the comparison of the vibration value with the reference value. Furthermore, a corresponding electric motor and a system consisting of the electric motor and a test system is disclosed with which the vibration behavior of the electric motor can be calibrated and reference values can be generated.