- author = "Feng Wang and Liangsheng Qu",
- title = "Extracting and Optimizing Sound Features in Mechanical Fault Diagnosis Using Genetic Programming",
- journal = "Journal of Xi'an Jiaotong University",
- year = "2002",
- volume = "36",
- number = "12",
- pages = "1307--1310",
- month = dec,
- keywords = "genetic algorithms, genetic programming, fault diagnosis, information fusion, pattern recognition",
- broken = "http://direct.bl.uk/bld/PlaceOrder.do?UIN=123943703&ETOC=RN",
- broken = "http://www.wanfangdata.com.cn/qikan/periodical.Articles/xajtdxxb/xajt2002/0212pdf/021224.pdf?login needed?",
- broken = "http://unit.xjtu.edu.cn/unit/xb/zrb/02/0212/xbe21224.html",
-
URL = "
http://en.cnki.com.cn/Article_en/CJFDTotal-XAJT200212024.htm",
- abstract = "A fault detection method is introduced, which uses compound features optimised by genetic programming based on single features. Some single features can be combined to form a compound feature. A compound feature obtained from sound signals is used to diagnose faults of rolling bearings, and its effectiveness is verified in practice. Based on the method, a new method is presented, which is improved by the information fusion technique. The features from sound signals and vibration signals are combined, and a new compound feature can be obtained by genetic programming. This feature can be used to detect faults of rolling bearings with higher efficiency and reliability.",
-
notes = "Broken Dec 2012
http://unit.xjtu.edu.cn/unit/xb/zrb/
School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China",
