Data Analytics of High Frequency Engine Rotational … filePROBLEM STATEMENT ©Maruti Suzuki India Limited (MSIL), 2016. No part of this presentation should be copied or reproduced

Data Analytics of High Frequency Engine Rotational Speed Using MATLAB®

AINA JAIN MEENAKSHI NISHIT JAIN SANDEEP MANDAL Maruti Suzuki India Ltd.

©Maruti Suzuki India Limited (MSIL), 2016. No part of this presentation should be copied or reproduced without exclusive permission of MSIL.

AGENDA

Engine Management System (EMS) and its components

Acquisition of sensor signals processed by EMS and need of validation

Analysis of sensor data by Conventional Approach and its limitations

Analysis of sensor data using MATLAB GUIDE and its advantages


PROBLEM STATEMENT


Big data processing and analysis to

validate the signals processed by Engine

controller

To perform this analysis within stipulated

time to meet the development schedule.

Engine

EMS (Engine Management System)

Engine Condition Information

Engine Condition detection i.e. engine temperature, piston position identification etc.

Engine Response Control

Optimal control of Actuators Actuators

-Ignition Coil -Injectors -Throttle Motor -Fuel Pump, relays, etc.

- Analog Inputs - Digital Inputs - Angular

Position Sensor Inputs

Sensors

Engine Management System

ECU


Engine

EMS (Engine Management System)

Engine Condition Information

Engine Condition detection i.e. engine temperature, piston position identification etc.

Engine Response Control

Optimal control of Actuators Actuators

-Ignition Coil -Injectors -Throttle Motor -Fuel Pump, relays, etc.

- Analog Inputs - Digital Inputs - Angular

Position Sensor Inputs

Sensors

ECU


Engine ECU

Acquisition & Processing of Angular Sensor Input

Sensor Data @ Low and High Frequency

Detection points increases with increasing Engine RPM i.e. Z > Y > X


X rpm

Y rpm

Z rpm

4 teeth detected in t seconds



Data Analysis using Conventional Approach


CONVENTIONAL APPROACH: DATA CAPTURING


Text data exceeds the worksheet limit.

MULTIPLE IMPORT REQUIRED!

OR

CONVENTIONAL APPROACH: DATA ANALYSIS

Divide the text File and import into multiple worksheets.


CONVENTIONAL APPROACH: DATA ANALYSIS


OH NO! I put the wrong formula. How can the Engine rpm be negative?

Many calculations in numerous sheets. Very much prone to Manual error.

OH NO! Microsoft Excel crashed again. I need to perform the calculations again.

Data Analysis Flow using Conventional Approach

Large data processing causes the system to crash.



Excel Based plots are used to check the anomaly points visually.

Data Analysis Flow using Conventional Approach

Selected data sets are plotted to find the exceeding limits.

SUMMARY: Limitations of Conventional Approach


LIMITATIONS OF CONVENTIONAL APPROACH

Capture Data every x micro-seconds

Import Data in Excel Format

Perform Calculations based on captured data

Plot the data and Identify Anomalies








Importing of all samples takes large time (samples numbers~ 50 Million)







Large Processing Time for manual calculation of different parameters based on this huge data









Manual intervention required to review test results










Manual intervention required to review test results

Data Analysis using MATLAB Application


Set of tools for creating user interface (UI) environment

Generates a program file to control the UI behavior

Provides a callback approach to make the GUI functional

MATLAB GUIDE

HIGH FREQUENCY DATA ANALYSIS TOOL

Graphical UI to perform all calculations

Plot the Data along with coordinates of anomaly points

Generate the excel data (Refined Data)

Flexibility to clear and re-plot or save the plot


Data Analysis using MATLAB Application

Step 1: Selection of Raw data captured from Vehicle

Click

here!


• To process further, file selection is necessary

• Else the GUI highlights the need of selection

©Maruti Suzuki India Limited (MSIL), 2016. No part of this presentation should be copied or reproduced without exclusive

permission of MSIL.

Step 1: Selection of Raw data captured from Vehicle

Click

here!


Step 2: Import Raw data to MATLAB workspace

Data import complete. Process ahead to plot the data

Click

here!


Step 3: Create Plot of Test Results

Plot of Test Results


Plot of Test Results


Click

here!


Step 4: Export results to trace back the anomalies

Additional Utilities: Save/Clear the Plots

Plots can be Saved for documentation Plots can be Cleared to re-plot new data


Data Analysis using Conventional

approach

Why using MATLAB is a better Approach



approach




approach




approach



Data Analysis using MATLAB GUI


approach





approach





approach




Advantages of MATLAB Application

Very Fast Calculations

* 60 minutes job done in less than 2 minutes!

* 200 MB raw data refined to 1MB of useful information in just 3 clicks!

Accurate Results

* Fool-proofing from manual errors!

Saves a lot of manual Effort

* MATLAB takes the pain,

User finds the gain!


Thank You!

Q & A


Documents

Data Analytics of High Frequency Engine Rotational … filePROBLEM STATEMENT ©Maruti Suzuki India Limited (MSIL), 2016. No part of this presentation should be copied or reproduced