Methods And Apparatus For Estimating Remaining Useful Life
AssigneeSiemens Aktiengesellschaft
InventorsCheng Feng, Fan Wang, Sheng Bo Hu
Life of this patent
Estimating the term…
Abstract
Various embodiments of the teachings herein include a method for estimating a remaining useful life of a worn part. An example includes: collecting a historical dataset of the worn part, wherein the dataset comprises a plurality of tuples, each tuple including: condition monitoring data and remaining useful life at a time the condition monitoring data is observed; and training a neural network with the historical dataset by using the condition monitoring data as input and generating a parameter of distribution of the remaining useful life as output of the neural network.
Claims17
A method for estimating a remaining useful life of a worn part, the method comprising:
- collecting a historical dataset of the worn part, wherein the dataset comprises a plurality of tuples, each tuple
- including:
- condition monitoring data
- and remaining useful life at a time the condition monitoring data is observed;
- and
- training a neural network with the historical dataset by using the condition monitoring data as input and generating a parameter of distribution of the remaining useful life as output of the neural network.
A method for estimating remaining useful life of a worn part, the method comprising:
- collecting real-time condition monitoring data of the worn part;
- entering the real-time condition monitoring data into a neural network trained with a historical dataset of the worn part;
- wherein a plurality of tuples in the historical dataset includes condition monitoring data and remaining useful life at a time the condition monitoring data is observed;
- wherein the condition monitoring data comprises input of the neural network and at least one parameter of distribution of the remaining useful life at the time the condition monitoring data is observed comprises output of the neural network;
- and
- acquiring, from output of the neural network, a value of the at least one parameter of distribution of the remaining useful life at the time the real-time condition monitoring data is observed.
11-13. (canceled)
An apparatus for estimating a remaining useful life of a worn part, the apparatus comprising:
- a data collection module to collect a historical dataset including a plurality of tuples for the worn part, wherein each tuple in the historical dataset includes:
- condition monitoring data
- and remaining useful life at the time the condition monitoring data is observed;
- and
- a training module to train a neural network with the historical dataset, wherein the condition monitoring data is input of the neutral network and the at least one parameter of distribution of the remaining useful life at the time the condition monitoring data is observed is output of the neural network.
19-23. (canceled)
Dependencies are inferred from the claim text.