A sensor data stream is provided consisting of feature vectors acquired by sensors of rotating equipment, similar feature vectors are aggregated in microclusters. For newly arriving feature vectors, a correlation distance measure between the new feature vector and each microcluster is calculated. If there is no microcluster in range, then a new microcluster is created. Otherwise, the feature vector is assigned to the best fitting microcluster, and the necessary statistical information is incorporated into the aggregation contained in the microcluster. In other words, similar feature vectors are aggregated in the same microclusters. The microclusters thus provide a generic summary structure that captures the necessary statistical information of the incorporated feature vectors. At the same time, the loss of accuracy is quite small. Clustering the sensor data stream with microclusters has the benefit that the computational complexity can be reduced significantly.

A massage machine includes a main body that includes a treatment portion configured to perform treatment with respect to a user; a detecting portion configured to detect a running state of a component of the main body and to obtain running state data; a storage portion configured to store the running state data; and a control unit configured to control an operation of the main body. The control unit includes: a determining portion configured to determine presence or absence of an abnormality related to the main body; and an abnormality outputting portion configured to output an information related to the abnormality and the running state data when the abnormality determining portion determines that the abnormality is present.

A crane risk logic apparatus and system and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus, the crane risk logic apparatus is integral with a crane, such as a mobile or crawler crane or a tower crane, and located in communication with a load moment indicator. The crane risk logic apparatus receives crane data from the load moment indicator and determines various data analytics, such as, lift angle data, allowable capacity data, operator override data, anti-two-block activation data, operational time data, lift cycle count data, lift classification data, slewing speed data, wind speed data, warning message data, error message data, and winch direction and speed data for each crane lift cycle. The data analytics may be utilized to inform a crane operator evaluation or a crane maintenance schedule for the crane, for example.

A crane risk logic apparatus and system and method for use of the same are disclosed. In one embodiment of the crane risk logic apparatus, the crane risk logic apparatus is integral with a crane, such as a mobile or crawler crane or a tower crane, and located in communication with a load moment indicator. The crane risk logic apparatus receives crane data from the load moment indicator and determines various data analytics, such as, lift angle data, allowable capacity data, operator override data, anti-two-block activation data, operational time data, lift cycle count data, lift classification data, slewing speed data, wind speed data, warning message data, error message data, and winch direction and speed data for each crane lift cycle. The data analytics may be utilized to inform a crane operator evaluation or a crane maintenance schedule for the crane, for example.

The present disclosure relates to method and device for determining performance of an intermittently used refrigerator. Performance measuring device receives time stamped temperature data from temperature sensor configured in the intermittently used refrigerator. The received time stamped temperature data is used to determine values for each of one or more predefined parameters associated with the intermittently used refrigerator. The performance measuring device determines temperature variation of the intermittently used refrigerator at predefined time intervals. Based on the determined temperature variation, additional service windows in a site comprising the intermittently used refrigerator are identified i.e. the intensity of sales in the site are identified. The determined values of each of the one or more predefined parameters and the determined temperature variation, helps in determining the performance of intermittently used refrigerator. One or more suggestions related to performance of the intermittently used refrigerator and energy consumption are provided to an end user.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

An instrument for performing order analysis on a rotational machine. An input module receives periodic motion data, and machine characteristic data that is associated by time with the periodic motion data. A processor module receives the periodic motion data and the machine characteristic data, applies a Goertzel module to the periodic motion data and the machine characteristic data, and thereby creates an order data set comprising magnitude of machine characteristic data versus order of normalized periodic motion data.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

Methods, systems, and apparatus for predicting electromechanical actuator health and remaining life include a method storing a reliability model coupled to a controlled actuator system comprising a motive force system coupled to a driven mechanical system. The motive force system is associated with motive force parameters. The driven mechanical system is associated with driven mechanical parameters. The reliability model represents a probability of failure of the controlled actuator system over time based on motive force parameters and driven mechanical parameters. Operational parameters of the controlled actuator system, received over time from a sensor system coupled to the controlled actuator system, include one of the motive force parameters or driven mechanical parameters. The operational parameters represent a degradation of the controlled actuator system over time. The reliability model is updated to represent a revised probability of failure. A state of the controlled actuator system is determined using the updated reliability model.

Methods, systems, and apparatus for predicting electromechanical actuator health and remaining life include a method storing a reliability model coupled to a controlled actuator system comprising a motive force system coupled to a driven mechanical system. The motive force system is associated with motive force parameters. The driven mechanical system is associated with driven mechanical parameters. The reliability model represents a probability of failure of the controlled actuator system over time based on motive force parameters and driven mechanical parameters. Operational parameters of the controlled actuator system, received over time from a sensor system coupled to the controlled actuator system, include one of the motive force parameters or driven mechanical parameters. The operational parameters represent a degradation of the controlled actuator system over time. The reliability model is updated to represent a revised probability of failure. A state of the controlled actuator system is determined using the updated reliability model.