US 2024/0118673 A1 · SENSOR AND METHOD FOR INDUSTRIAL MACHINERY MONITORING BASED ON SENSOR DATA PROCESSING BY A MACHINE LEARNING ALGORITHM

Abstract

Sensor and method for performing industrial machinery monitoring based on sensor data processing by a machine learning algorithm. The sensor stores a predictive model of the machine learning algorithm and receives measurements generated by at least one sensing component of the sensor. For example, the measurements comprise one or more of the following: a temperature of an industrial machine, a measurement of a vibration of the industrial machine, and a sound intensity of the industrial machine. The sensor executes the machine learning algorithm, which uses the predictive model for inferring output(s) based on inputs. The output(s) comprise at least one predicted operating condition of the industrial machine (e.g. a predicted failure). The inputs comprise at least some of the measurements. The machine learning algorithm may implement a neural network. The predictive model may be updated based on feedback generated by the sensor or received from another device.

Claims20

Dependent claims

A sensor adapted to perform industrial machinery monitoring based on sensor data processing by a machine learning algorithm, the sensor comprising:

at least one communication interface;
memory storing a predictive model of the machine learning algorithm;
at least one sensing component adapted to generate measurements, the measurements comprising at least one of the following:
a temperature related to an industrial machine, a measurement representative of a vibration related to the industrial machine, and a sound intensity related to the industrial machine;
and
a processing unit comprising one or more processor configured to:
receive from the at least one sensing component the measurements;
and
execute the machine learning algorithm, the machine learning algorithm using the predictive model for inferring one or more output based on inputs, the one or more output comprising at least one predicted operating condition of the industrial machine, the inputs comprising at least some of the measurements.

6 more elements

A method for performing industrial machinery monitoring based on sensor data processing by a machine learning algorithm, the method comprising:

storing in a memory of a sensor a predictive model of the machine learning algorithm;
receiving by a processing unit of the sensor measurements generated by at least one sensing component of the sensor, the measurements comprising at least one of the following:
a temperature related to an industrial machine, a measurement representative of a vibration related to the industrial machine, and a sound intensity related to the industrial machine;
and
executing by the processing unit of the sensor the machine learning algorithm, the machine learning algorithm using the predictive model for inferring one or more output based on inputs, the one or more output comprising at least one predicted operating condition of the industrial machine, the inputs comprising at least some of the measurements.

2 more elements

Dependencies are inferred from the claim text.

Sensor and method for industrial machinery monitoring based on sensor data processing by a machine learning algorithm

Life of this patent

Sensor and method for industrial machinery monitoring based on sensor data processing by a machine learning algorithm

Life of this patent

Abstract

Claims20