Predictive Maintenance Time Series Data Automatic Analysis Machine CX-M
Automating abnormal equipment detection, failure prediction, and AI model generation! By automating analysis and development tasks, we enable rapid data utilization.
In manufacturing sites, the utilization of equipment data is advancing for productivity improvement, quality enhancement, and equipment maintenance. However, these initiatives require not only knowledge and skills in manufacturing but also new knowledge and technologies such as IT and data science, resulting in more time and costs than anticipated. The time series data automatic analysis machine "CX-M" is designed to automate the analysis of time series data for abnormal detection and failure prediction, aimed at predictive maintenance and quality improvement for our customers (manufacturers). It automates the analysis tasks (data preprocessing, feature extraction, and creation of inference models (AI) through machine learning) and program development tasks that were traditionally performed by data analysis experts (data scientists), enabling users without data analysis knowledge to quickly perform advanced data analysis utilizing machine learning.
- Company：東京エレクトロン デバイス
- Price：Other
