Niu, G. (2017). Data-driven technology for engineering systems health management: Design approach, feature construction, fault diagnosis, prognosis, fusion and decision. Springer. https://doi.org/10.1007/978-981-10-2032-2
Chicago Style (17th ed.) CitationNiu, Gang. Data-driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decision. Singapore: Springer, 2017. https://doi.org/10.1007/978-981-10-2032-2.
MLA (9th ed.) CitationNiu, Gang. Data-driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decision. Springer, 2017. https://doi.org/10.1007/978-981-10-2032-2.
Warning: These citations may not always be 100% accurate.