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Design and Implementation of Equipment Maintenance Predictive Model Based on Machine Learning
| Content Provider | Scilit |
|---|---|
| Author | Li, Xiang Wei, Li He, Jianfeng |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering Equipment replacement is a fundamental problem in the current industrial Internet of Things application and development and has very practical application significance and value. This paper takes the service life of equipment as the research object, applies machine learning theory, builds the equipment maintenance prediction model based on random forest regression on the basis of analysis and comparison, and gives the typical technology implementation and verification of the model, which has good adaptability and reference value. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/466/1/012001/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/466/1/012001 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 466 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-12-28 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Industrial Engineering |
| Content Type | Text |
| Resource Type | Article |
