Abstract: A rolling bearing assembly, capable of realizing self-monitoring, includes a rolling bearing having a ring and a wireless sensor. The ring is provided with an assembly groove, and the wireless sensor is mounted in the assembly groove. The assembly groove is located in a circumferential face of the ring and has an opening that is open in the axial direction of the rolling bearing and/or the assembly groove is located in an axial end face of the ring and has an opening that is open in the radial direction of the rolling bearing.

Abstract: A sensing device for a bearing and a bearing component. The sensing device includes a sensing body for mounting into the bearing by a press fit. The sensing body is provided with: a sensing measurement module having a pressure sensor for measuring the load of the bearing and a temperature sensor for measuring the temperature of the sensing device, and the measured load is corrected using the measured temperature; a wireless communication module used for wirelessly transmitting bearing information from the sensing measurement module; and a wireless power supply module used for supplying power for the sensing measurement module and the wireless communication module. The bearing component includes a bearing and the sensing device.

Abstract: The disclosure provides an adapter assembly of a generator and an axle-end generator assembly. An adapter assembly includes a first part configured to mount to a wagon bogie and a second part connecting to the first part. The first part and the second part are configured to form a base for mounting a stator of a generator together.

Abstract: A computer-implemented method is presented for selecting a preferred live agent from a plurality of live agents. The method includes constructing, via the processor, a human expertise matrix pertaining to each of the plurality of live agents by determining an average net promoter score (NPS) for each of the plurality of live agents for each category of a plurality of categories, and in response to a voice call by a user, determining, via the processor, a predicted human expertise on average by collectively assessing the human expertise matrix, a predicted NPS derived from a first deep neural network, and a predicted category derived from a second deep neural network. The method further includes, based on the predicted human expertise on average determined, triggering communication via the live agent communication network between the user and the preferred live agent to initiate a conversation between the user and the preferred live agent.

Abstract: A detection system and a wind driven generator. The detection system includes: a plurality of passive wireless sensors respectively provided at the corresponding positions to be detected, which are used for obtaining detection signals of the positions to be detected; and a leaky coaxial cable provided along the position to be detected, wherein the leaky coaxial cable can emit electromagnetic waves to drive the plurality of passive wireless sensors, and can receive the detection signal sent by the passive wireless sensors. The detection system can save installation space, as well as reduce maintenance costs since there is no need to replace a battery regularly, and when conducting multi-point measurements, costs are reduced and the number of passive wireless sensors that the system can configure is increased.

Abstract: The disclosure provides an adapter assembly of a generator and an axle-end generator assembly. An adapter assembly includes a first part configured to mount to a wagon bogie and a second part connecting to the first part. The first part and the second part are configured to form a base for mounting a stator of a generator together.

Abstract: A computer implemented method, computer system and computer program product are provided for transferring in a BOT conversation. According to the method, a user input is received, by a device operatively coupled to one or more processing units, from a user. A first response from a conversation BOT responding to the user input is obtained by the device. The first response is evaluated by the device according to configured rules to determine whether a human agent is needed, wherein the evaluation according to at least one of the configured rules is carried out by a trained engine of a reinforcement learning model. Finally, responding to determine the human agent is needed, a transferring recommendation is sent to the user by the device.

Abstract: A computer implemented method, computer system and computer program product are provided for transferring in a BOT conversation. According to the method, a user input is received, by a device operatively coupled to one or more processing units, from a user. A first response from a conversation BOT responding to the user input is obtained by the device. The first response is evaluated by the device according to configured rules to determine whether a human agent is needed, wherein the evaluation according to at least one of the configured rules is carried out by a trained engine of a reinforcement learning model. Finally, responding to determine the human agent is needed, a transferring recommendation is sent to the user by the device.

Abstract: A computer-implemented method is presented for selecting a preferred live agent from a plurality of live agents. The method includes constructing, via the processor, a human expertise matrix pertaining to each of the plurality of live agents by determining an average net promoter score (NPS) for each of the plurality of live agents for each category of a plurality of categories, and in response to a voice call by a user, determining, via the processor, a predicted human expertise on average by collectively assessing the human expertise matrix, a predicted NPS derived from a first deep neural network, and a predicted category derived from a second deep neural network. The method further includes, based on the predicted human expertise on average determined, triggering communication via the live agent communication network between the user and the preferred live agent to initiate a conversation between the user and the preferred live agent.