A POL-axis driving unit, an EL-axis driving unit, a Cross-EL-axis driving unit and an AZ-axis driving unit of an antenna apparatus drive respective axis drive motors controlled by a control unit of a control apparatus, such that the antenna performs an origin detection operation for each axis. The camera control unit controls a camera so as to capture an image of the antenna at each timing before and after the origin detection for each axis. An image acquisition unit of an antenna inspection acquires image data that indicates the image of the antenna captured by the camera and makes storage unit store the image data. A comparing diagnosis unit compares image data before the origin detection for each axis with image data after the origin detection, and diagnoses whether the antenna is in a normal state.

Systems and methods are disclosed for detecting and classifying faults in a networked system. An offline training offline storage and training function can store network data and periodically train machine learning models for identifying faults. Machine learning models can include separate detection and classification models. These machine learning models can be periodically provided to an online anomaly detection function and an online anomaly classification function for detecting and classifying anomalies in real time.

A fixed wing unmanned aircraft and a method for operating the same are provided. The fixed wing unmanned aircraft may include, but is not limited to, a failure detection system configured to detect faults in one or more of the plurality of components, a capability evaluation system communicatively coupled to the failure detection system, the capability evaluation system configured to determine a capability level of the fixed wing unmanned aerial vehicle based upon the faults in the one or more of the plurality of components, and a trajectory generation system communicatively coupled to the failure detection system and the capability evaluation system, the trajectory generation system configured to generate a touch down trajectory for the fixed wing unmanned aerial vehicle based upon the determined capability level of the fixed wing unmanned aerial vehicle, wherein when the determined capability level is below a predetermined threshold, the touch down trajectory comprising a stall maneuver configured to minimize a lateral energy of the fixed wing unmanned aerial vehicle.

An evaluation system includes an acquisition module that acquires a safety program, an instruction extraction module that extracts an instruction directed to processing for causing a target device to operate with safety maintained, a signal extraction module that extracts an input signal and an output signal related to the instruction, a setting module that displays the extracted input signal and the extracted output signal in association with each other, and receives a setting of an expected output value for the displayed output signal, the expected output value being a value for causing the target device to operate with safety maintained, and an evaluation module that changes a value of the extracted input signal and determines whether a value of the output signal calculated by an operation in accordance with the safety program, in response to change of the value of the input signal, is identical to the expected output value.

There is provided a drive control apparatus that can maintain a drive control system to be in a safe state even in a case where operational abnormality of avoiding a normal reset of a control processor or operational abnormality of avoiding solution even after resetting the control processor occurs in the control processor. The control processor includes an actuator control processing unit configured to generate a control signal for a drive circuit being a control target apparatus and an actuator, and a diagnosis processing unit configure to diagnosing the actuator control processing unit. The diagnosis processing unit cyclically outputs a reset signal to WDT in a case where the operation of the control processor is normal. The WDT continuously outputs a cutoff signal for cutting off a supply of the control signal from the control processor to the control target apparatus when the cyclic reset signal stops.

A system for determining a priority of monitoring a machine is provided. The system includes a data acquisition module disposed in communication with a sensor. The data acquisition module is configured to generate data based on at least an operational parameter associated with the machine. The system further includes a server configured to determine a first factor indicative of a rate of usage of the machine, a second factor indicative of a number of exceptions of the machine at corresponding severities, a third factor indicative of a risk of unscheduled downtime of the machine, a fourth factor indicative of a distance from a preventive maintenance of the machine, a fifth factor indicative of an importance of a sub-system of the machine, and the priority of monitoring the machine based on at least the first factor, the second factor, the third factor, the fourth factor and the fifth factor.

Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Suitability of an operational state of a steam-using equipment is accurately estimated to allow for early detection of a sign of abnormality in the steam-using equipment. A steam-using facility monitoring system (M) comprised of a steam-using equipment (4) includes a control state detector (D1) that detects a state of a steam controller (1) provided in a steam pipe (2) accompanying the steam-using equipment (4), and an operational state estimating means (S) having a signal input unit (S1) that inputs a detection signal (σi) from the control state detector (D1) and an operational state estimation unit (S2) that estimates the operational state of the steam-using equipment (4) based on one inputted detection signal (σi) or a preset particular combination of detection signals (σi).

A hot water supply device including an inlet pipe, an outlet pipe, a burner unit, a heat exchanger, an exhaust aperture, a first temperature sensor detecting a measured exhaust temperature of the exhaust gas, a second temperature sensor detecting a water temperature of water entering the inlet pipe, and a processor. The processor is configured to obtain an error between the measured exhaust temperature and an estimated exhaust temperature, and detects that scale clogging has occurred inside the heat exchange tubing based on an index which is generated using the error between the measured exhaust temperature and the estimated exhaust temperature. The estimated exhaust temperature is a first predetermined value that is determined using a numerical equation which has at least the water temperature of water entering the inlet pipe and a scale number of the hot water supply device as variables of the numerical equation.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for performing leak detection. In one aspect, the method includes actions of obtaining water consumption data that is based on first sensor data generated by a connected water meter that is installed at a property, determining, based on the obtained water consumption data, (i) that a water leak is occurring at the property and (ii) a type of water leak that is occurring at the property, in response to determining (i) that a water leak is occurring at the property and (ii) a type of water leak that is occurring at the property, determining, based on a type of water leak that is determined to be occurring at the property, an operation to mitigate potential damages caused by the water leak, and initiating performance of the operation in order to mitigate potential damages caused by the water leak.