Acoustic Signal Classification by Support Vector Machine for Pipe Crack Early Warning in Smart Water Networks-Reference-Cited by-同舟云学术

Acoustic Signal Classification by Support Vector Machine for Pipe Crack Early Warning in Smart Water Networks

Author:

Zhang Chi¹^ORCID,Stephens Mark L.²^ORCID,Lambert Martin F.³,Alexander Bradley J.⁴,Gong Jinzhe⁵^ORCID

Affiliation:

1. Data Scientist, Strategic Asset Management, South Australia Water Corporation, 250 Victoria Square, Adelaide, SA 5000, Australia. ORCID: .

2. Adjunct Lecturer, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author). ORCID: .

3. Professor, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.

4. Senior Lecturer, School of Computer Science, Univ. of Adelaide, Adelaide, SA 5005, Australia.

5. Senior Lecturer, School of Engineering, Deakin Univ., 75 Pigdons Rd., Waurn Ponds, VIC 3216, Australia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

Reference28 articles.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献