Failure Diagnostic and Performance Monitoring, it is a part of CM program for airlines, it is addressing the condition of components of the aircraft, either it is initial , random or wear failures.

1. Failure Diagnostic and Performance Monitoring ACTUARIAL TECHNIQUE An Implemented Approach for Airlines Prepared by Eng. Mohammed Salem Awad Consultant

3. PRODUCT LIFE MODEL CYCLES / HOURS Failure Rate Bath –Tub Curve Chance Failure Initial F. Wear out F.

4. THEORETICAL MODEL WEIBULL DISTRIBUTION Define By Three Parameters  Location Parameter   Scale Parameter  Shape Parameter 

5. THEORETICAL MODEL WEIBULL DISTRIBUTION time

7. THEORETICAL MODEL WEIBULL DISTRIBUTION Parameters Evaluation Cumulative distribution function Transform to i.e identical to 

8. ACTUARIAL TECHNIQUES The Flow Chart is illustrated the Actuarial Technique Flight Time, Median Rank, No. Of Reading *Decision of Reliability For Component *Characteristic Life of Component. *Time Since Overhaul Selection The Value of   Transform the distribution to the linear form y = mx + c Weibull Distribution R 2 > 80% Evaluation For  and  YES NO Evaluation of R and R 2 

9. ACTUARIAL TECHNIQUES Analysis : Actuarial Techniques is a part of Reliability Control Program. 1- Specify a components for the analysis and indicate its part number, collect number of reading of confirm failure, and define its failure Mode. 2- According to the number of reading select the corresponding values of median rank at desired level of confidence say 95% of two tail regain . 3- Transform the Weibull distribution to linear form y = mx + c and start the analysis by using one tentative value location parameter of Weibull distribution. 4- Calculate coef. of correlation R and coef. of determination R. Flight Time, Median Rank, No. Of Reading *Decision of Reliability For Component *Characteristic Life of Component. *Time Since Overhaul Selection The Value of   Transform the distribution to the linear form y = mx + c Weibull Distribution R 2 > 80% Evaluation For  and  YES NO Evaluation of R and R 2 

10. ACTUARIAL TECHNIQUES 5- If R is less than 80 % select another value of location parameter and repeat the calculation until the value of R is greater than 80%. 6- When the value R is greater than 80 % then evaluate scale parameter and shape parameter. 7- As the three parameters of Weibull distribution are defined, so we can find for the concerned component, its reliability level, characteristic life, and it mean time to failure. Flight Time, Median Rank, No. Of Reading *Decision of Reliability For Component *Characteristic Life of Component. *Time Since Overhaul Selection The Value of   Transform the distribution to the linear form y = mx + c Weibull Distribution R 2 > 80% Evaluation For  and  YES NO Evaluation of R and R 2 

11. DATA COLLECTION Sections/ Divisions -Hangar -Line Maintenance -Technical Record -Material Planning -Engineering Forms Com. Change Form Com. Change Form Hours Run Form Shop Finding Report Review of CM Com.

12. FLOW INFORMATION HANGAR LINE M. TECH. STORES MATERIAL PLANNING TECH. RECORD Engineering Division *Decision of Reliability For Component *Characteristic Life of Component. *Time Since Overhaul C.C.F C.C.F Conform Failures Reliable Components Shop Finding Report Hours Run Hours Run Review of CM Review of CM

13. CYCLE OF CONDITION MONITORING COMPONENTS Data Sampling / Analysis for confirmed Failures Shop Finding Report (Confirmed / Not Confirmed) CM Components Removals Local Repairs / Repair At Station

14. Main Electric Trim Actuator CASE STUDY

15. CASE STUDY DATA SURVEY

26. Contact Contact : Mohammed Salem Awad Consultant Tel : 00967734777518 Email: [email_address]