Contents

SAFETY PRECAUTIONS
CONDITIONS OF USE FOR THE PRODUCT
INTRODUCTION
CONTENTS
RELEVANT MANUALS
TERMS
1 MELSOFT MaiLab
- 1.1 Data Set, AI, and Task
2 SYSTEM CONFIGURATION
- 2.1 System Configuration
  - Components
  - Operating environment
  - Overall system configuration
- 2.2 Licenses
3 PROCEDURE BEFORE OPERATION
- 3.1 Starting Using this Product with the Standard License
- 3.2 Adding a User with an Additional User License
- 3.3 Adding a Diagnosis Terminal with an Additional Diagnosis License
- 3.4 License Manager
  - Startup method
  - Screen configuration
  - Procedure for registering a license
- 3.5 Opening the Operation Screen
  - When building an operation terminal and the learning station in the same environment
  - When building an operation terminal and the learning station in different environments
  - Closing the operation screen
  - Considerations
- 3.6 Setting Management Tool (on the Learning Station)
  - Startup method
  - Screen configuration
  - Changing operation status
- 3.7 Setting Management Tool (on a Diagnosis Terminal)
  - Startup method
  - Screen configuration
  - Changing operation status
4 OPERATION SCREEN
- 4.1 Signing up
- 4.2 Signing in
5 USER AND DIAGNOSIS TERMINAL MANAGEMENT
- 5.1 Creating and Managing Users
  - User management screen
  - Creating a new user
- 5.2 Registering and Managing Diagnosis Terminals
  - Diagnosis terminal management screen
  - Registering a new diagnosis terminal
6 PROJECT CREATION AND MANAGEMENT
- 6.1 Project Management Screen
- 6.2 Creating a New Project
- 6.3 Setting Members
- 6.4 Exporting and Importing a Project
- 6.5 Opening a Project
  - Home screen
7 DATA SET CREATION AND MANAGEMENT
- 7.1 Data Set
  - Data source
  - Joined data
  - Various settings
- 7.2 Data Set Management Screen
- 7.3 Creating a New Data Set
  - Data set creation screen
  - Creation procedures
  - Data source setting
  - Horizontal data join
  - Data check
- 7.4 Visualizing Data
  - Preview screen
  - Data overview
  - Raw data
  - Line chart and histogram
  - Box plot
  - Pie chart and histogram
  - Scatter plot matrix
  - Correlation matrix heat map
  - Multiple waveform preview
- 7.5 Downloading a Data Set
- 7.6 Editing a Data Set
8 AI CREATION AND MANAGEMENT
- 8.1 AI
  - Creation method
  - Learning flow
- 8.2 AI Management Screen
- 8.3 Creating a New AI (Automatically)
  - Purpose 'to detect errors' and a data set of the table data set type
  - Purpose 'to detect errors' and a data set of the waveform data set type
  - Purpose other than 'to detect errors' and a data set of the table data set type
  - Purpose other than 'to detect errors' and a data set of the waveform data set type
  - AI automatic learning screen for an autoencoder model
  - AI automatic learning screen for classification and regression models
  - AI automatic learning screen for a similar waveform recognition model
  - AI automatic learning monitoring screen
- 8.4 Creating a New AI (Manually)
  - AI editor screen
  - AI customization learning monitoring screen
- 8.5 Displaying a Learning Result
  - AI preview screen
- 8.6 Editing an AI
- 8.7 Testing an AI
  - AI test screen
9 TASK CREATION AND MANAGEMENT
- 9.1 Task
  - Task types
  - Schedule settings
  - Process flow
- 9.2 Task Management Screen
  - Calendar view
  - Task assignment
  - Display setting
- 9.3 Creating a Task (Simple Task)
  - Simple task creation screen
- 9.4 Creating a Task (Advanced Task)
  - Task editor screen
- 9.5 Setting a Schedule
  - Schedule setting screen
- 9.6 Starting and Stopping a Task
  - Starting a task
  - Stopping a task
- 9.7 Editing a Task
10 EXTENSION BLOCK SETTINGS
- 10.1 Extension block list
- 10.2 Data Set Category
  - Data set block
- 10.3 Preprocessing Category
  - Missing value processing block
  - Outlier processing block
  - Scaling block
  - Numerical value operation block
  - Dimensionality compression block
  - Section generation block
  - Section feature generation block
  - Sub-section forming block
  - Date and time encoding block
  - Category encoding block
  - Add category statistic block
  - Variable deletion block
- 10.4 Analysis Method Category
  - Multiple regression block
  - k-nearest neighbors algorithm block
  - Random forest block
  - Gradient boosting decision tree block
  - Deep learning block
  - MT method block
  - Autoencoder block
  - Guard band block
  - Similar waveform recognition block
- 10.5 Ensemble Learning Category
  - Ensemble learning block
- 10.6 AI Output Category
  - AI output block
- 10.7 Data Stream Category
  - Input data stream block
  - Output data stream block
- 10.8 Diagnosis Execution Category
  - AI execution block
- 10.9 Diagnosis Category
  - Comparison judgment block
  - SPC judgment block
- 10.10 Utility Category
  - Python block
11 MONITORING START
- 11.1 Diagnosis Terminal List Screen
- 11.2 Diagnosis Terminal Monitoring Screen
- 11.3 Task Monitoring Screen
  - Diagnosis results
  - Execution status
12 EVENT LOG CHECK
13 PERSONAL SETTINGS
14 TROUBLESHOOTING BY SYMPTOM
APPENDIX
- Appendix 1 Unusable Characters for this Product
- Appendix 2 Cooperation with Edgecross Basic Software
- Appendix 3 Cooperation with GX Simulator2 or GX Simulator3
  - Cooperation with GX Simulator2
  - Cooperation with GX Simulator3
- Appendix 4 Software Licenses
- Appendix 5 Added and Changed Functions
INDEX
REVISIONS
TRADEMARKS
COPYRIGHTS

Mitsubishi SW1DND-MAILAB-M User's Manual

Mitsubishi SW1DND-MAILAB-M Data Science Tool manual cover

Pages 434

Year 2022

Language(s)

of 434

Mitsubishi SW1DND-MAILAB-M Data Science Tool Specification

The Mitsubishi SW1DND-MAILAB-M is a comprehensive data science tool designed to enhance machine learning and artificial intelligence capabilities in industrial applications. This software platform is engineered to integrate seamlessly with Mitsubishi Electric's automation solutions, providing a robust environment for data analysis, modeling, and deployment. It supports a wide range of machine learning algorithms, enabling users to develop predictive models that can optimize industrial processes and improve operational efficiency.

The SW1DND-MAILAB-M tool features a user-friendly interface that facilitates easy data import, manipulation, and visualization, making it accessible to both data scientists and engineers. It is equipped with advanced analytics functions, allowing users to perform complex statistical analyses and derive actionable insights from large datasets. The tool also supports automation of workflows, enabling the creation of repeatable and scalable data processing pipelines.

Compatibility with various data formats and seamless integration with existing IT infrastructure are key highlights of this tool, ensuring flexibility and ease of use. The software is designed to handle real-time data processing, making it suitable for dynamic environments where timely decision-making is crucial. Additionally, it includes capabilities for model validation and testing, ensuring that developed models meet the required performance standards before deployment.

The SW1DND-MAILAB-M is also equipped with robust security features to protect sensitive data and ensure compliance with industry standards. Its modular architecture allows for customization and expansion, catering to the specific needs of different industrial sectors. Overall, the Mitsubishi SW1DND-MAILAB-M serves as a powerful tool for leveraging data science in automation and control systems, driving innovation and efficiency in industrial operations.

Mitsubishi SW1DND-MAILAB-M Data Science Tool F.A.Q.

How do I install Mitsubishi SW1DND-MAILAB-M on my computer?

To install Mitsubishi SW1DND-MAILAB-M, download the installer from the official Mitsubishi website, run the executable file, and follow the on-screen instructions. Ensure your system meets the software requirements before installation.

What are the minimum system requirements for using Mitsubishi SW1DND-MAILAB-M?

The minimum system requirements include a Windows operating system (7 or later), at least 4GB of RAM, 2GB of available hard disk space, and a 2.0 GHz dual-core processor.

How can I troubleshoot connectivity issues with Mitsubishi SW1DND-MAILAB-M?

Check your network connection, ensure the correct IP address is configured, and verify that your firewall settings allow communication with the software. Restart both your computer and the network device if necessary.

What steps should I follow to update Mitsubishi SW1DND-MAILAB-M to the latest version?

Open the software, go to the 'Help' menu, and select 'Check for Updates'. If an update is available, follow the prompts to download and install the latest version. Ensure you have administrative rights for the installation process.

Can I use Mitsubishi SW1DND-MAILAB-M on a Mac?

Mitsubishi SW1DND-MAILAB-M is designed for Windows operating systems. To use it on a Mac, you may need to use a Windows emulator or virtual machine software like Parallels or Boot Camp.

How do I perform a backup of my projects in Mitsubishi SW1DND-MAILAB-M?

To back up your projects, navigate to the 'File' menu, select 'Export', and choose the location where you want to save the backup file. It's recommended to use an external storage device for backups.

What should I do if the software crashes frequently?

Ensure your software is up-to-date and meets the system requirements. Check for any conflicting software or drivers and disable unnecessary background applications. If the problem persists, contact Mitsubishi support for assistance.

How can I customize the user interface in Mitsubishi SW1DND-MAILAB-M?

Go to the 'View' menu and select 'Customize'. From there, you can adjust toolbars, themes, and layouts to suit your preferences. Save your settings to retain the customized interface.

Is there a way to automate tasks in Mitsubishi SW1DND-MAILAB-M?

Yes, Mitsubishi SW1DND-MAILAB-M supports task automation through scripting. Access the 'Automation' panel, write your script using the supported language, and execute it to automate repetitive tasks.

How do I contact Mitsubishi support for issues with SW1DND-MAILAB-M?

Visit the official Mitsubishi website and navigate to the 'Support' section. You can find contact details, including phone numbers and email addresses for technical assistance.