G08B21/187

METHOD AND SYSTEM FOR MONITORING SENSOR DATA OF ROTATING EQUIPMENT
20170365155 · 2017-12-21 ·

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.

ADVANCED DISCRETE CONTROL DEVICE DIAGNOSTIC ON DIGITAL OUTPUT MODULES

An apparatus performs methods for device diagnostics based on signals from digital outputs. The apparatus includes an input/output module with a digital output module to be coupled to a device. The input/output module measures one or more characteristics of a digital signal provided by the digital output module, where at least one of the one or more characteristics of the digital signal is associated with an output current of the digital output module. The input/output module also performs one or more diagnostics using the one or more measured characteristics of the digital signal.

Remote control system

On detection of a difference between the operation amount detected by a first sensor and the operation amount received by a first communication unit from a slave, a master side controller executes at least one of stop control to automatically stop a construction machine and alarm control to cause a warning device to issue an alarm. On detection of a difference between the operation amount detected by a second sensor and the operation amount received by a communication unit from the master, a slave side controller executes at least one of the stop control to automatically stop the construction machine and the alarm control to cause the warning device to issue the alarm.

ANOMALY DETECTION SYSTEMS AND METHODS

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

Image based inspection and automated inventory and supply chain management of well equipment

A monitoring system includes an image sensor positioned about a rig, the image sensor directed at a drill string component positioned on the rig, and an onsite gateway communicably coupled to the image sensor and disposed proximate to the rig. The onsite gateway includes one or more processors, and a non-transitory computer-readable storage medium coupled to the one or more processors and storing programming instructions for execution by the one or more processors. The programming instructions instruct the one or more processors to receive an image stream of the drill string component from the image sensor, identify an operating parameter of the drill string component, generate an operating condition of the drill string component, determine that the generated operating condition meets a failure threshold of the drill string component, and send an instruction to drive a controllable device.

System and method for controlling semiconductor manufacturing apparatus

The present disclosure provides systems and methods for controlling a semiconductor manufacturing apparatus. A control system includes an inspection unit capturing a set of images of the semiconductor manufacturing apparatus, a sensor interface receiving the set of images and generating at least one input signal for a database server, and a control unit. The control unit includes a front end subsystem, a calculation subsystem, and a message and feedback subsystem. The calculation subsystem receives the data signal from the front end subsystem, wherein the calculation subsystem performs an artificial intelligence analytical process to determine, according to the data signal, whether a malfunction has occurred in the semiconductor manufacturing apparatus and to generate an output signal. The message and feedback subsystem generates an alert signal and a feedback signal according to the output signal, and the alert signal is transmitted to a user of the semiconductor manufacturing apparatus.

Alert similarity and label transfer
11495114 · 2022-11-08 · ·

A method of identifying a historical alert that is similar to an alert associated with a detected deviation from an operational state of a device includes receiving feature data including time series data for multiple sensor devices associated with the device and receiving an alert indicator for the alert. The method includes processing a portion of the feature data that is within a temporal window associated with the alert indicator to generate feature importance data for the alert. The feature importance data includes values indicating relative importance of each of the sensor devices to the alert. The method also includes identifying one or more historical alerts that are most similar, based on the feature importance data and stored feature importance data, to the alert.

Fault detection in a multi-phase electric machine

The present disclosure describes an apparatus, system, and method of use for detecting electrical faults in a multiphase electric machine. Often in platforms which require redundant reliability or have no readily available electrical connection to earth use ungrounded electrical architectures. This allows the system to continue normal operation even if there is an unintended short circuit or current path (electrical fault) between a phase of an electric machine and its case or some other part of the platform. It is important to be able to readily identify any fault in the phase windings of machinery operating in an ungrounded electrical architecture. Since a single fault in an ungrounded system will not cause any additional current draw or otherwise affect the system, it can be difficult to detect that a fault has even occurred. This provides an advanced warning system.

AIR-CONDITIONING COOLING ENERGY APPARATUS MANAGEMENT APPARATUS
20220057095 · 2022-02-24 ·

An air-conditioning cooling energy apparatus management apparatus includes: a setting input unit that sets and inputs control information to determine a transmission destination of notification information indicating occurrence of a failure in an air-conditioning cooling energy apparatus; a storage unit that stores the control information set by the setting input unit; a communication unit that receives information on the failure from the air-conditioning cooling energy apparatus and transmits the notification information indicating occurrence of the failure; and a transmission destination determination unit that determines the transmission destination of the notification information based on the control information and a failure level based on the information on the failure that is received by the communication unit. The communication unit receives the information on the failure from the air-conditioning cooling energy apparatus and transmits the notification information to the transmission destination determined by the transmission destination determination unit.

PREDICTING REMAINING USEFUL LIFE OF A WATER HEATER STORAGE TANK
20220057111 · 2022-02-24 ·

The present disclosure addresses systems, media, and methods of predicting a remaining useful life of a water heater storage tank included in a water heating system. To predict the remaining useful life of the water heater storage tank, algorithmic calibration processes can be used to determine an anodic current range for a corrosive current flowing between the water heater storage tank and an anode rod inserted into the water heater storage tank. Respective values for the corrosive current can be measured, and a rate of reduction of the corrosive current can be calculated based on the respective measured values for the corrosive current. An estimate of a remaining useful life of the water heater storage tank can be made, and an alert indicative thereof can be transmitted based, at least in part, on the calculated rate of reduction of the corrosive current.