Presentation is loading. Please wait.

Presentation is loading. Please wait.

Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support Anil Varma Vipin Ramani Information Technology Lab GE Corporate Research.

Similar presentations


Presentation on theme: "Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support Anil Varma Vipin Ramani Information Technology Lab GE Corporate Research."— Presentation transcript:

1 Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support Anil Varma Vipin Ramani Information Technology Lab GE Corporate Research & Development Correspondence to :

2 Introduction GE Medical Systems - Health Care Services - Multi Vendor Equipment Maintenance > 30 OEMs. > 50 Equipment Types > 100 Models Laptop based Problem-Solution Knowledge Base Improved Dissemination of Diagnostic Knowledge Corporate knowledge base Data Source Text Dispatches describing observed symptoms and solution process attempted.

3 > 100 Meg of data/year. Need to automatically identify dispatches with useful diagnostic information Classification problem with supervised learning Results Little AI goes a long way..

4 4 Field Engineer OLC Service Engineer Dispatch Database : Dispatch Data Effective utilization of FE Dispatch Data (110,000+). Creation of a Corporate Knowledge Base REPORT DISTRIBUTION LOCATION 3017 S E R V I C E R E C O R D H I S T O R Y D E T A I L 01/19/98 14:27:50 CEPMPP3 DISPATCH NO: TYPE SERVICE: EMG BILL ACCT : DISPATCHER: A5569 DATE: ACCT TYPE : 0 AREA CODE: H311 GROUP CONTROL NO: TIME: PHONE : ROOM ID : CT COLUMBIA ROSE MEDICAL CENTER ISC ENT: N STATUS : 045 ROOM DESC : SOMATOM PLUS ACCOUNTS PAYABLE ISC ASG: N MODALITY : CT ROOM SYS-ID: CT 4567 EAST 9TH AVENUE DENVER CO FE ASSIGNED: COYLE H311 WHEN ASSIGNED: START END EQUIP STATUS --ACCUM CONTACT HRS-- ---ACCUM TRAVEL HRS--- TRAVEL EXPENSE SVC-CLS CONT-CLS CONT-NO STARTING: 92 STD STD FINAL: 90 ORDER NO. MODEL NUMBER SERIAL NO. FMI NO FMICD MA CM PT Y SYMPTOMS: HAVING RING ARTIFACT ON SCANNER SVC PRF CDS HRS DIAGNOSIS AND SERVICE PERFORMED DESCRIPTION PM CODE: IS EI NT 38.0 TROUBLESHOT FOUND BAD PREAMP BOARD #11 IN DAS MOVED IT TO #2 SLOT Field Engineer Field Engineer Dispatch Data EXAMPLE DISPATCH Project Overview

5 5 Dispatch_NoSymptom_text KEYBOARD IS NOT WORKING/TIME OUT MEASUREMENT ERROR QUE OVERRUN ERROR Magnet Monitoring Alarm Site stuck in fill mode- check key/pwr HAVING CHEMICAL PROBLEM WITH THE PROCESSOR AUTO COLLIMATOR NOT WORKING THE TUBE STAND COMPUTER IS LOCKED UP POOR RESOLUTION ON BARS THE A-DAC IS LOCKED AND THEY ARE DOWN X-RAY TUBE IS OVERHEATING/COOLING UNIT IS NOT WORKING PROBLEM WITH FILM MAGAZINE TOMO NOT WORKING COLLIMATION IS NOT OPENING UP COMPLETELY THE BUCKY TRAY IS LOOSE COLLIMATION IS NOT OPENING UP COMPLETELY POOR GAIN OPTICAL DISK--CRASHED OPTICAL DISK NO EXPOSURES HEAD COIL IS BROKEN TUBE CHANGE BAD H2O FLOW SENSOR ON MAGNET MONITORING KIT IIE CAMERA TAKES TOO LONG TO EXPOSE HAVING TROUBLE WITH THE BACK UP TIMER, AND DARK FILMS THYROID UPTAKE PROBE IS BLOWING FUSES LIKE CRAZY Dispatch_NoSolution_text SYSTEM HAD COMMUNICATION INTERFERENCE LIKE BEFORE BETWEEN FUNCTION KEYS AND HOST COMPUTER SWAPPED FIBER OPTIC COMM LINES BETWEEN KEYBOARD AND FUNCTION KEYS. PROBLEM HAS DISAPPEARED RESTRUNG CASSETTE SIZE SENSING MECHANISM IN BUCKY TRAY, ALSO STRAIGHTENED COLLIMATOR ON TUBE CONTROL PROBLEM INTERMITTENT SWITCHED CONTROL WITH NORTHROOM FOUND CO57 MAPED TO TL201REMAPPED TO TC99 RAN FLOODS CHECKED OK. KEN REQUESTED WE RUN CO57 FLOOD CAL. ATTEMPTED TO DO SO BUT SHEET SOURCE TO WEEK. MAPPED TO TC99 PER KEN PHONE FIX MAGAZINE BINDS AND WILL NOT RUN REPLACED TOMO FULCRUM DRIVE FUSE, RESEATED TUBESTAND DRIVE ARM FOUND MANUAL COLLIMATOR CONTROLS IN MANUAL OPERATION OPENEDSHUTTERS. CHECKED OPERATION IN FLUORO AND RADIOGRAPHIC.ADJUSTED MANUAL KV/MA FOR BETTER IMAGE ON MONITOR WAITED TILL 12:30 FOR ROOM CASSETTE HOLDING FOOT BROKEN OFF. DRILLED, TAPPED AND RE-FASTENED FOOT REPLACED RECIEVER BOARD OPS CHECKED GOOD. Raw Problem-Solution Data

6 6 PROBLEM FOUND TO BE WITH "MOLEX" CONNECTOR FROM POWER SUPPLY CONNECTOR CHANGED BY WAYNE TYSAK ON , PROBLEM CORRECTED. PERFORMED EXTENSIVE TESTING TO PROVE THAT CUT-OFF IS CAUSEDBY MIS- ALIGNMENT OF FILMSCREENS INSIDE KODAC 18X24 CASSETTES NOT AN OBSTRUCTION IN THE X-RAY FIELD. FILM APPEARS TO BE HANGING ON THE NIP ROLLER AS IT ENTERS THE RECEIVER MAGAZINE ORDERED NIP ROLLER AND DRIVE BELTS. INSTALLED NIP ROLLER AND DRIVE BELTS. OK FOR NOW BUT BELIEVE SPRING STEEL TENSIONER IS WEAK AND NEEDS REPLACEMENT. DID NOT FIND ANY PROBLEMS TESTED TOMO BUT COULD NOT FIND ANY PROBLEMS RETURNED TO SERVICE. CHECKED SYSTEM OPERATION AND DID NOT FIND ANY PROBLEM CHECKED IMAGE DID NOT FIND ANY PROBLEMS. THIS IS A BOGUS DISPATCH COULD NOT REPRODUCE PROBLEM ADJUSTED TABLE BUCKY CONTACTS. COULD NOT REPRODUCE PROBLEM TURNED PROBLEM OVER TO C MCCALLISTER / R.RUSH COULD NOT REPRODUCE PROBLEM TESTED SYSTEM AND COULD NOT REPRODUCE. TABLE LOCKS WERE WORKING AND COULD NOT REPRODUCE PROBLEM PERFORMED PMBILL NATIONAL MD FOR 6 5 HRS LABOR & 1 HR TRAVEL TOTAL CHARGE = $1, Examples of Varying Dispatch Content

7 Data Quality Spellng errors, technical terms, abbrev., spacingerrors, a.c.r.o.n.y.m.s Bad! NLP Don’t try to understand, just learn patterns in data

8 Process for Supervised Learning Mine for diagnostically useful dispatches Accepted Dispatches Rejected Dispatches X% Algorithm for learning diagnostically useful patterns 100-X% Manually judge relevance Useful Dispatches extracted - typically 10%- 60% of raw input data

9 Text Matching Features FILM APPEARS TO BE HANGING ON THE NIP ROLLER WATER FILM ON THE NIP ROLLER Sentence Words Word parts FILMAPPEARS TOBEHANGING ONTHENIPROLLER AAAEEEFGGHIILLLMNNOOOPRRRST Letters Increasing similarity possibility, decreasing context

10 N - grams diagnosis = dia, iag,agn, gno,nos,osi,sis (trigram) diagnsis = dia, iag,agn, gns,nsi, sis Have user identify seed accepted and rejected dispatches Break dispatches into N- Grams Use N-Grams as features N-gram Matching Approach VOI +ve -ve THE +ve -ve FIX +ve -ve +1 0

11 Case Based Matching Approach Accepted Dispatches Bin Rejected Dispatches Bin Similarity Function = [  Weights of common datagrams]  Weight of datagrams in Classified phrase X  Weight of datagrams in New phrase New Dispatch Too Slow!

12 Alternate Approach Try to come up with aggregate decision by looking at constituent datagram weights and signs. OPTICAL DISK IS MECHANCIALLY JAMMED WILL NOT ACCEPT DISK.REPLACE WITH PART FROM INVENTORY HP UNIT. TEST PASSED. Accept Neutral Reject # +ve versus # -ve datagrams Sum of +ve weights vs. sum of -ve weights Highest weight datagram Highest weight ranking if weight > W else voting/aggregation. Collect features of high +ve or -ve weights - adaptive datagram size 1. Vary datagram size from 3 to N. 2. For each run, retain datagrams with weight > W 3. Look for neighboring datagrams with similar weights/signs, merge as new test phrase CONNECTOR GREASE BEAR ALLOW COST TRANSMISSION DETECTOR BILLING VOID CONNECTOR GREASE BEAR ALLOW COST TRANSMISSION DETECTOR BILLING VOID pre rev eve ven ent nti ive -> preventive average wt. =

13 PERFORMED COMPLETE PREVENTIVE MAINTENANCE CALIBRATION CHECK=SATISFACTORY, KV, MA,& EXPOSURE TIMES ALL CH.SAT. IMAGAE QUALITY CH.SAT. MAX. FLOURO RAD. DOSE. CH.SAT. HV CABLES CLEANED&LUB. ALL CONTROLS AND LOCKS OP.CH.SAT. OVERHEAD TUBE SAFETY CABLE C H.SAT. ENTIRE SYSTEM Recommendation : System Operation Automatically Accept Automatically RejectForward to expert for decision User varies Field Engineer Service Center Periodic updates Dispatch classification

14 Some Results on Test Data Tool released to 450 field service engineers in US & Europe

15

16 Conclusions Lots of text diagnostic information in equipment service operations Quickly deployable Learning approaches to text Clustering different failure modes for particular equipment REPORTED PENALTY BRAKE APPLICTION WATER IN AC OIL- CHANGED OIL 28WATER IN AC OIL-REPL OIL PENALTY BRAKE APPLICATION TESTED APPLIED WABCO MODS 11WATER IN AC OIL CHANGED OIL CO CCC FOR NOT BOOTING UP CO BCCM FOR SLOW BC APPLICATION EAB TROUBLE - NTF DID WABCO EAB MODS Text repair actions for same problem code Locomotive example


Download ppt "Intelligent Knowledge Extraction from Service Notes for Equipment Diagnostics Support Anil Varma Vipin Ramani Information Technology Lab GE Corporate Research."

Similar presentations


Ads by Google