US 11,989,014 B2
State estimation apparatus, method, and non-transitory computer readable medium
Shigeru Maya, Yokohama (JP); and Ken Ueno, Tachikawa (JP)
Assigned to KABUSHIKI KAISHA TOSHIBA, Tokyo (JP); and TOSHIBA INFRASTRUCTURE SYSTEMS & SOLUTIONS CORPORATION, Kawasaki (JP)
Filed by KABUSHIKI KAISHA TOSHIBA, Tokyo (JP); and TOSHIBA INFRASTRUCTURE SYSTEMS & SOLUTIONS CORPORATION, Kanagawa (JP)
Filed on Sep. 4, 2020, as Appl. No. 17/012,671.
Claims priority of application No. 2019-227675 (JP), filed on Dec. 17, 2019.
Prior Publication US 2021/0183528 A1, Jun. 17, 2021
Int. Cl. G05B 23/02 (2006.01); G16Y 20/20 (2020.01); G16Y 40/10 (2020.01); G16Y 40/20 (2020.01); G16Y 40/40 (2020.01)
CPC G05B 23/024 (2013.01) [G16Y 20/20 (2020.01); G16Y 40/10 (2020.01); G16Y 40/20 (2020.01); G16Y 40/40 (2020.01)] 13 Claims
OG exemplary drawing
 
1. A system for estimating a state of a monitoring target, the system comprising:
a sensor that measures an operation of the monitoring target; and
an information processing apparatus including:
acquisition circuitry configured to acquire first data from the sensor; and
processing circuitry configured to:
calculate a distribution representing a magnitude of a value and a frequency of the magnitude of the value based on the first data acquired by the acquisition circuitry;
divide a width of the distribution into a plurality of division intervals;
detect a first division interval in which a deviation of the distribution becomes a maximum value among the plurality of division intervals and a second division interval in which the deviation of the distribution is less than a predetermined value among the plurality of division intervals;
determine one or more division intervals existing between the first division interval and the second division interval as a specific range used for estimating the state of the monitoring target;
estimate the state of the monitoring target based on a number or a ratio of the number of the first data whose values are within the specific range among values of the first data acquired by the acquisition circuitry, or input the first data whose values are within the specific range into a state estimation model based on a learned neural network and obtain an output of the state estimation model as an estimation result of the state of the monitoring target; and
with respect to the state:
when the number or the ratio is a first threshold value or smaller, determine a completely normal state,
when the number or the ratio is greater than the first threshold value and equivalent to or smaller than a second threshold value, determine a normal state with a possibility of trouble, and
when the number or the ratio is greater than the second threshold value, determine a normal state with a strong possibility of trouble.