Abstract: A series-parallel monorail hoist based on an oil-electric hybrid power and a controlling method thereof. The monorail hoist includes a cabin, a hydraulic driving system, a lifting beam, a gear track driving and energy storage system, and a speed adaptive control system connected in series with each other and travelling on a track. The monorail hoist is capable of implementing an independent drive by an electric motor or a diesel engine in an endurance mode, a hybrid drive of the electric motor and the diesel engine in a transportation mode, and a hybrid drive of the diesel engine and a flywheel energy storage system in a climbing mode, according to different operating conditions that include conditions of an upslope, a downslope and a load. Power requirements for the monorail hoist under various operating conditions are satisfied, and the excess energy is recovered during the process of travelling.

Abstract: The present invention provides a dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions, including acquiring bearing vibration data under different working conditions to obtain a source domain sample and a target domain sample; establishing a deep convolutional neural network model with dynamic joint distribution alignment; feeding both the source domain sample and the target domain sample into the deep convolutional neural network model with initialized parameters, and extracting, by a feature extractor, high-level features of the source domain sample and the target domain sample; calculating a marginal distribution distance and a conditional distribution distance; obtaining a joint distribution distance according to the marginal distribution distance and the conditional distribution distance, and combining the joint distribution distance and a label loss to obtain a target function; and optimizing the target function by using SGD, and training the