US 11,720,093 B2
Method for predictive maintenance of equipment via distribution chart
Young Kyu Lee, Ulsan (KR)
Assigned to ITS CO., LTD., Ulsan (KR)
Appl. No. 17/769,653
Filed by ITS CO., LTD., Ulsan (KR)
PCT Filed Oct. 14, 2020, PCT No. PCT/KR2020/014026
§ 371(c)(1), (2) Date Apr. 15, 2022,
PCT Pub. No. WO2021/075855, PCT Pub. Date Apr. 22, 2021.
Claims priority of application No. 10-2019-0128096 (KR), filed on Oct. 15, 2019.
Prior Publication US 2023/0060002 A1, Feb. 23, 2023
Int. Cl. G05B 23/02 (2006.01)
CPC G05B 23/0283 (2013.01) [G05B 23/0221 (2013.01); G05B 23/0235 (2013.01)] 3 Claims
OG exemplary drawing
 
1. A method for predictive maintenance of equipment via a distribution chart, the method comprising:
monitoring, by a sensor, a real-time driving state of an equipment while the equipment is repeatedly performing a working process;
measuring, by a processor, a change in an amount of energy required for the equipment to perform the working process in a normal driving state, wherein the amount of energy is changed while the equipment is repeatedly performing the working process in the normal driving state;
setting, by the processor, a value having a largest amount of energy as a peak value based on the measured change in the amount of energy;
collecting, by the processor, all peak values for the working process repeatedly performed by the equipment based on the measured change in the amount of energy;
constructing, by the processor, a first distribution chart based on the collected all peak values and repeatedly constructing, by the processor, first distribution charts for the working process repeatedly performed by the equipment at a set peak unit time interval while the equipment is repeatedly performing the working process in the normal driving state;
setting, by the processor, a section having a high distribution probability of the peak value as a peak average section in each of the first distribution charts and setting, by the processor, at least one section selected among sections other than the peak average section as at least one peak detection section in each of the first distribution charts;
repeatedly determining, by the processor, a distribution probability value for the at least one peak detection section in each of the first distribution charts while the equipment is repeatedly performing the working process in the normal driving state;
arranging, by the processor, the distribution probability values in order of time during which the equipment is repeatedly performing the working process in the normal driving state;
connecting, by the processor, the distribution probability values of the peak detection sections to each other by straight lines and determining a peak slope of each of the straight lines;
setting, by the processor, a peak slope threshold value for the peak detection sections based on the peak slope of each of the straight lines;
repeatedly determining, by the processor, a distribution probability value for the at least one peak detection section in each of the first distribution charts while the equipment is repeatedly performing the working process in the real-time driving state of the equipment;
arranging, by the processor, the distribution probability values in order of time during which the equipment is repeatedly performing the working process in the real-time driving state of the equipment;
connecting, by the processor, the distribution probability values of the peak detection sections to each other by the straight lines and measuring a peak slope value of each of the straight lines; and
when the measured peak slope value exceeds the peak slope threshold value, inducing, by the processor, an inspection and management of the equipment by warning,
wherein the set peak unit time interval is a time duration for the equipment to perform the working process for two or more times.