Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
由中科云谷科技有限公司提供某类工程机械设备的核心耗损性部件的工作数据，包括部件工作时长、转速、温度、电压、电流等多类工况数据。希望参赛者利用大数据分析、机器学习、深度学习等方法，提取合适的特征、建立合适的寿命预测模型，预测核心耗损性部件的剩余寿命。 Official track: 数据挖掘. Sponsor: 科大讯飞股份有限公司. Teams entered: 1246.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Aug 20, 2019