US 12,135,317 B2
Method and system for failure prediction using lubricating fluid analysis
Maurice Jean, Boucherville (CA); and Daniel Meilleur, Boucherville (CA)
Assigned to PRATT & WHITNEY CANADA CORP., Longueuil (CA)
Filed by PRATT & WHITNEY CANADA CORP., Longueuil (CA)
Filed on Sep. 2, 2022, as Appl. No. 17/902,060.
Application 17/902,060 is a continuation of application No. 16/953,620, filed on Nov. 20, 2020, granted, now 11,467,143.
Application 16/953,620 is a continuation of application No. 16/816,717, filed on Mar. 12, 2020, granted, now 10,871,476, issued on Dec. 22, 2020.
Application 16/816,717 is a continuation of application No. 15/872,252, filed on Jan. 16, 2018, granted, now 10,627,376, issued on Apr. 21, 2020.
Application 15/872,252 is a continuation of application No. 13/661,181, filed on Oct. 26, 2012, granted, now 9,897,582, issued on Feb. 20, 2018.
Prior Publication US 2022/0412931 A1, Dec. 29, 2022
Int. Cl. G01N 31/22 (2006.01); F01M 11/10 (2006.01); F02D 41/22 (2006.01); G01N 33/28 (2006.01); G06F 15/00 (2006.01)
CPC G01N 31/22 (2013.01) [F02D 41/22 (2013.01); G01N 33/2858 (2013.01); G06F 15/00 (2013.01); F01M 2011/14 (2013.01); Y02T 10/40 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method for generating a failure prediction for an engine of an engine type, the method comprising:
receiving a sample of lubricating fluid of the engine, the sample of the lubricating fluid having a volume of 25 ml or less and/or having at least 1000 particles therein;
filtering out the particles from the sample of the lubricating fluid;
using X-ray spectroscopy, analyzing the particles and producing raw data relating to the particles, the raw data including chemical compositions of individual particles;
using one or more processors and the raw data:
categorizing the particles into categories to generate categorized data, at least one of the categories being a chemical composition category;
comparing the categorized data with historical data associated with the engine type;
generating the failure prediction based on the comparison, the failure prediction being indicative of one or both of the following: when the engine is expected to fail and a mechanism of failure of the engine; and
generating an output indicative of the failure prediction.