Data-Driven Condition Monitoring of Mining Mobile Machinery in Non-Stationary Operations Using Wireless Accelerometer Sensor Modules.
Pablo AquevequeLuciano RadriganFrancisco PasteneAníbal S. MoralesErnesto GuerraPublished in: IEEE Access (2021)
Keyphrases
- non stationary
- condition monitoring
- data driven
- acoustic emission
- mobile devices
- mobile users
- nuclear power plant
- mobile communication
- fault detection
- mobile networks
- fault diagnosis
- mobile phone
- communication technologies
- adaptive algorithms
- sensor data
- wireless communication
- autoregressive
- data mining
- sensor networks
- wireless technologies
- mobile terminals
- itemsets
- wireless networks
- power transformers
- mobile applications
- empirical mode decomposition
- inertial sensors
- random fields
- real time
- neural network
- financial time series
- activity recognition
- knowledge discovery
- speech signal
- multi sensor
- sequential patterns
- data mining techniques
- hidden markov models
- multiresolution
- multiscale
- change point detection