Add to ORKGFault diagnosis is significant for identifying latent abnormalities, and implementing fault-tolerant operations for minimizing performance degradation caused by failures in industrial systems, such as rotating machinery. The emergence of entropy theory contributes to precisely measure irregularity and complexity in a time series, which can be used for discriminating prominent fault information in rotating machinery. In this short paper, the utilization of entropy techniques for fault diagnosis of rotating machinery is summarized. Finally, open research trends and conclusions are discussed and presented respectively
Existing works have paid scant attention to the multivariate entropy of complex data. Thus, existing...
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected d...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
Fault diagnosis of rotating machinery is of considerable significance to ensure high reliability an...
Entropy, as a complexity measure, has been widely applied for time series analysis. One preeminent e...
Entropy, as a complexity measure, has been widely applied for time series analysis. One preeminent e...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected d...
Feature recognition and fault diagnosis plays an important role in equipment safety and stable opera...
Rotating equipment is considered as a key component in several industrial sectors. In fact, the cont...
Rotating equipment is considered as a key component in several industrial sectors. In fact, the cont...
Feature recognition and fault diagnosis plays an important role in equipment safety and stable opera...
Fault diagnosis of incipient crack failure in rotating shafts allows the detection and identification...
Existing works have paid scant attention to the multivariate entropy of complex data. Thus, existing...
Existing works have paid scant attention to the multivariate entropy of complex data. Thus, existing...
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected d...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
Fault diagnosis of rotating machinery is of considerable significance to ensure high reliability an...
Entropy, as a complexity measure, has been widely applied for time series analysis. One preeminent e...
Entropy, as a complexity measure, has been widely applied for time series analysis. One preeminent e...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected d...
Feature recognition and fault diagnosis plays an important role in equipment safety and stable opera...
Rotating equipment is considered as a key component in several industrial sectors. In fact, the cont...
Rotating equipment is considered as a key component in several industrial sectors. In fact, the cont...
Feature recognition and fault diagnosis plays an important role in equipment safety and stable opera...
Fault diagnosis of incipient crack failure in rotating shafts allows the detection and identification...
Existing works have paid scant attention to the multivariate entropy of complex data. Thus, existing...
Existing works have paid scant attention to the multivariate entropy of complex data. Thus, existing...
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected d...
In large machinery, the most common element we can use is rolling bearing. When the rolling bearing ...