Predictive Maintenance with MATLAB and Simulink
Predictive maintenance—the practice of forecasting equipment failures before they occur—is a high priority for many organizations looking to get business value from historical performance data. New technologies such as machine learning and big data show promising results, but they fail to capture nuances that may be obvious to domain experts familiar with these systems.
See how machine learning and big data techniques can be used with traditional model-based techniques to create hybrid approaches for predicting failures. Through examples and case studies, Mehernaz Savai shows you how MATLAB® and Simulink® combine to provide a common platform for building predictive maintenance algorithms.
Published: 16 Mar 2018
Featured Product
MATLAB
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
- América Latina (Español)
- Canada (English)
- United States (English)
欧洲
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
亚太
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)