To accurately diagnose the quayside container crane (QCC) gearbox faults, this article
proposes a method that combines the frequency-domain Markov transformation field …

Gearbox fault diagnosis is of great significance to avoid accidents and reduce operation and
maintenance costs for machinery such as the quayside container crane. In recent years …

Gearboxes are one of the most widely used speed and power transfer elements in rotating
machinery. Highly accurate compound fault diagnosis of gearboxes is of great significance …

Health services for rotating machinery are essential to ensure safe industrial production. In
recent years, deep learning (DL) methods based on vibration analysis have been …

Purpose In gearbox fault diagnosis, identifying the fault type and severity simultaneously, as
well as the compound fault containing multiple faults, is necessary. Design/methodology …

Gearboxes are key transmission components and widely used in various industrial
applications. Due to the possible operational conditions, such as varying rotational speeds …

Large amounts of ship accidents caused by marine machinery indicate the significance of
fault diagnosis for marine machinery. Since numerous onboard sensor signals contain …

It is significant to boost the performance of fault diagnosis of wind turbine gearboxes. In this
paper, a hybrid attention improved residual network (HA-ResNet) based method is proposed …

It is very significant to realize effective fault diagnosis of a gearbox in modern industrial
systems. Undeniably, the traditional intelligent fault diagnosis methods such as back …

In this paper, a fault diagnosis method combining one-dimensional convolutional neural
network (1DCNN) and random forest (RF), which is called 1DCNN-RF, is proposed for …