This DATSETNAMEreadme.txt file was generated on YYYY-MM-DD by NAME
<help text is included in angle brackets, and can be deleted before saving>


GENERAL INFORMATION

1. Title of Dataset: Vibration-Based Fault Detection in Drone using Artificial Intelligence

2. Author Information
	A. Principal Investigator Contact Information
		Name: Mohamad Hazwan Mohd Ghazali
		Institution: Universiti Sains Malaysia Engineering Campus
		Address: Penang, Malaysia
		Email: hazwan_ghazali@yahoo.com

	B. Associate or Co-investigator Contact Information
		Name: Wan Rahiman
		Institution: Universiti Sains Malaysia Engineering Campus
		Address: Penang, Malaysia
		Email: wanrahiman@usm.my
 

3. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD>: 

4. Geographic location of data collection <latitude, longiute, or city/region, State, Country, as appropriate>: 

5. Information about funding sources that supported the collection of the data: 


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 

2. Links to publications that cite or use the data: 

3. Links to other publicly accessible locations of the data: 

4. Links/relationships to ancillary data sets: 

5. Was data derived from another source? no

6. Recommended citation for this dataset: 


DATA & FILE OVERVIEW

1. File List: 
<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>

 	i) NeuroFuzzy 100 Dataset (The first dataset): This dataset contains 4 input and 1 output data for each dataset. The input data are randomly generated from MATLAB software whereas the output data are determined by the user based on the experimental works in the third dataset. The dataset is divided into 80 dataset for training, 10 dataset for testing, and 10 dataset for checking data for the neurofuzzy (ANFIS) simulation in MATLAB software.
	ii) NeuroFuzzy 1000 Dataset (The second dataset): This dataset contains 4 input and 1 output data for each dataset. The input data are randomly generated from MATLAB software whereas the output data are determined by the user based on the experimental works in the third dataset. The dataset is divided into 800 dataset for training, 100 dataset for testing, and 100 dataset for checking data for the neurofuzzy (ANFIS) simulation in MATLAB software.
	iii) Experimental data (The third dataset): This is the experimental data for five experimental conditions; (i) (a) Original multirotor condition without modifying the multirotor arms, (b) 100% screwed multirotor arms condition (full tighten), (c) 50% screwed multirotor
	     arms condition (half tighten), (d) 10% screwed multirotor arms condition, and (e) Unscrewed multirotor arm conditions. This experimental data are the vibration output data of the multirotor, obtained using the SW420 vibration sensor, placed at the multirotor arm.  	
        iv) Multirotor detection (The fourth dataset): A video demonstrating the real-time deployment of our proposed method in the mp4 format.

2. Relationship between files, if important: The output data for the first and second data set are determined by the user based on the third dataset.

3. Additional related data collected that was not included in the current data package: 

4. Are there multiple versions of the dataset? no
	A. If yes, name of file(s) that was updated: 
		i. Why was the file updated? 
		ii. When was the file updated? 


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: Randomly generated data from MATLAB software and using the combination of Arduino UNO, SW420 vibration sensors, and PLX-DAQ software for the experimental data
<Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

2. Methods for processing the data: Data are processed in the Microsoft Excel and MATLAB software
<describe how the submitted data were generated from the raw or collected data>

3. Instrument- or software-specific information needed to interpret the data: Fuzzy logic and ANFIS toolboxes from MATLAB version R2020b 
<include full name and version of software, and any necessary packages or libraries needed to run scripts>

4. Standards and calibration information, if appropriate: 

5. Environmental/experimental conditions: There are five experimental conditions; (i) (a) Original multirotor condition without modifying the multirotor arms, (b) 100% screwed multirotor arms condition (full tighten), (c) 50% screwed multirotor
	     arms condition (half tighten), (d) 10% screwed multirotor arms condition, and (e) Unscrewed multirotor arm conditions.

6. Describe any quality-assurance procedures performed on the data: 

7. People involved with sample collection, processing, analysis and/or submission: 


DATA-SPECIFIC INFORMATION FOR: [FILENAME]
<repeat this section for each dataset, folder or file, as appropriate>

1. Number of variables: 

2. Number of cases/rows: 

3. Variable List: 
<list variable name(s), description(s), unit(s)and value labels as appropriate for each>

4. Missing data codes: 
<list code/symbol and definition>n

5. Specialized formats or other abbreviations used: