Patent SG-11201901668R-A (SG)
Title: Detection of anomalies in multivariate data
Inventor: FINEIS FRANK
Filed: 2017-08-31
Abstract: WO 18/0 45 241 A2 (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 08 March 2018 (08.03.2018) W I PO I PCT 0111111010 0111 °nolo III o DID IH oiniou oimiE (10) International Publication Number WO 2018/045241 A2 Receive Observation Data 1102 Transform Observation Data from Original Coordinate Space to Transformed Coordinate Space 1104 Standardize Transformed Observation Data 1106 (51) International Patent Classification: Not classified (21) International Application Number: PCT/US2017/049749 (22) International Filing Date: 31 August 2017 (31.08.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/382,629 01 September 2016 (01.09.2016) US 15/367,012 01 December 2016 (01.12.2016) US (71) Applicant: UPTAKE TECHNOLOGIES, INC. [US/US]; 600 West Chicago Ave., Suite 620, Chicago, Illi- nois 60654 (US). (72) Inventors: FINEIS, Frank; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). HORRELL, Michael; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). LI, Tuo; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). HERZOG, James; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). (74) Agent: SHEA, Rory; Lee Sullivan Shea & Smith LLP, 224 N Desplaines St., Suite 250, Chicago, Illinois 60661 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). (54) Title: DETECTION OF ANOMALIES IN MULTIVARIATE DATA (57) : Disclosed herein are systems, devices, and methods for detecting 100 anomalies in multivariate data received from an asset-related data source, such as sig- nal data and/or other data from an asset. According to an example, a platform may receive multivariate data from an asset in an original coordinate space and transform the data in the original coordinate space to a transformed coordinate space having a relatively fewer number of dimensions. Additionally, the platform may standardize the data in the transformed coordinate space and modify the standardized data based on a comparison between the standardized data and a set of threshold values previously defined via training data reflective of normal asset operation. Thereafter, the platform may inversely transform the modified data back to the original coordinate space and perform an analysis to detect anomalies. Compare Standardized Observation Data to Set of Threshold Values 1108 Based on Comparison Modify Standardized Observation Data 111n Inversely Transform Modified Observation Data Back to Original Coordinate Space 1112 Analyze Post-Transformation Observation Data in Original Coordinate Space 1114 FIG. 11 [Continued on next page] WO 2018/045241 A2IMMO11111 1I11E111 IIENIIMMIMMOII111111EMIE Published: without international search report and to be republished upon receipt of that report (Rule 48.2(g))