Failure prediction - メーカー・企業と業務用製品

Fault Prediction × IoT - Building a Predictive Maintenance System

Introducing the construction of predictive maintenance systems, including system images and case studies!

The background for the growing attention on anomaly detection and predictive maintenance includes factors such as the increasing complexity of failures and the rising costs of maintenance. This document introduces the construction of predictive maintenance systems. Additionally, it explains the image of predictive maintenance systems, case studies of their construction, and the construction workflow. 【Contents (Excerpt)】 ■ Image of Predictive Maintenance System ■ Predictive Maintenance by Three "Functional Levels" ■ Background for the Attention on Predictive Maintenance ■ Case Studies of Predictive Maintenance System Construction ■ Workflow for Constructing Predictive Maintenance Systems *For more details, please refer to the PDF document or feel free to contact us.

企業：MathWorks Japan
価格：Other

Other information systems
Software (middle, driver, security, etc.)
Failure prediction

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[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

We will introduce examples of fault prediction and accident prevention using AI utilized in the manufacturing industry!

●Overview and Objectives - Recently, the spread of COVID-19 has advanced work style reforms, and in the manufacturing industry, the promotion of DX (Digital Transformation), particularly the use of AI, continues to attract significant attention. To ensure that this does not end as just a buzzword and to fundamentally improve operational efficiency, it is essential to promote projects based on a deep understanding of company-specific challenges in addition to knowledge of AI. - In this course, we will introduce case studies of AI implementation in the manufacturing industry, presented by Cinnamon AI, which has a track record of AI adoption in this sector. We hope that by watching this, you will find hints to solve the challenges you face in your own environment.

企業：公益社団法人日本プラントメンテナンス協会
価格：Other

Management Seminar
Failure prediction

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Fault prediction using AI-FTA for power generation.

Accelerate the identification of the causes of power generation equipment failures and support stable operation.

In the power generation industry, stable operation of equipment is essential, and downtime due to failures can lead to significant losses. Particularly with complex equipment, identifying the cause of a failure can take time, and delays in response can result in further damage or prolonged outages. AI-FTA enables rapid responses by integrating on-site data and assisting in narrowing down the causes of failures. 【Usage Scenarios】 - Power plants - Major equipment such as turbines, boilers, and generators - Identifying causes during failure occurrences 【Benefits of Implementation】 - Reduction in time to identify failure causes - Decrease in the risk of equipment downtime - Assetization of trouble response history

企業：電費半分本社、埼玉営業所
価格：5 million yen-10 million yen

boiler
Failure prediction

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Failure prediction - メーカー・企業と業務用製品 | イプロスものづくり

Failure predictionの製品一覧

Fault Prediction × IoT - Building a Predictive Maintenance System

[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

Fault prediction using AI-FTA for power generation.

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