title: Operational safety assessment of turbo generators with wavelet Rényi entropy from sensor-dependent vibration signals.
abstract: With the rapid development of sensor technology, various professional sensors are installed on modern machinery to monitor operational processes and assure operational safety, which play an important role in industry and society. In this work a new operational safety assessment approach with wavelet Rényi entropy utilizing sensor-dependent vibration signals is proposed. On the basis of a professional sensor and the corresponding system, sensor-dependent vibration signals are acquired and analyzed by a second generation wavelet package, which reflects time-varying operational characteristic of individual machinery. Derived from the sensor-dependent signals' wavelet energy distribution over the observed signal frequency range, wavelet Rényi entropy is defined to compute the operational uncertainty of a turbo generator, which is then associated with its operational safety degree. The proposed method is applied in a 50 MW turbo generator, whereupon it is proved to be reasonable and effective for operation and maintenance.
authors.affiliation: Key Laboratory of Road Construction Technology and Equipment, Ministry of Education, Chang'an University, Xi'an 710064, China. lilyzhang@chd.edu.cn.|State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, PR China. lilyzhang@chd.edu.cn.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Zhang
authors.affiliation: State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, PR China. wangbaojian@mail.xjtu.edu.cn.
authors.forename: Baojian
authors.initials: B
authors.lastname: Wang
authors.affiliation: State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, PR China. chenxf@mail.xjtu.edu.cn.
authors.forename: Xuefeng
authors.initials: X
authors.lastname: Chen