EMCH/MATSE 440代写、代做Matlab代写、代写Matlab语言程序、代做Damage propagation-代写Matlab编程

EMCH/MATSE 440 Homework 4

Due: 11/12/18

Directions: Use the publish feature in MatLab. Modify the code so that your answers are relevantly and

clearly placed in the code.

Background on data: The data used in the example is downloaded from The Prognostics Center of

Excellence (PCoE) at Ames Research Center (https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognosticdata-repository/).

The data is from the publication:

Saxena, Abhinav, et al. "Damage propagation modeling for aircraft engine run-to-failure simulation."

Prognostics and Health Management, 2008. PHM 2008. International Conference on. IEEE, 2008

Refer to plm.html for more information or to the publication.

Download: EMCH440 PHM Example

Contents:

Phm.m – Prognostic health monitoring example presented in class

Phm.asv – backup file

M2tex.m – converts matlab file into Latex

Html\ - folder containing images when you publish using MatLab

CMAPSSData\ - repository containing data used in the example

Question 1: Use the second dataset and

…\CMAPSSData\RUL_FD002.txt (Remaining useful life)

…\CMAPSSData\test_FD002.txt (test dataset)

…\CMAPSSData\train_FD002.txt (training dataset)

(a) Plot each of the operational setting values versus time.

(b) Modify this plot to answer the question, is the operational setting for each engine constant?

Question 2: Plot feature ‘T30’ versus time in cycles

(a) Modify this plot to answer the question, is the temperature T30 constant for each operating

condition?

Question 3: Run the linear regression analysis as is.

(a) Does the linear regression model produce a good estimate of the remaining useful life?

(b) Name one feature that might make this model better. Explain why