A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.

A system includes a vertical molten sulfur pump assembly that includes a top portion adjacent to a first end of the vertical molten sulfur pump assembly and a bottom portion adjacent to a second end of the vertical molten sulfur pump assembly. A pump motor is disposed in the top portion, an impeller is disposed in the bottom portion within an impeller casing, and a shaft is disposed within a central column and connecting the pump motor with the impeller. A pump inlet is disposed at the second end below the impeller casing. The pump inlet and the impeller casing are configured to be immersed in molten sulfur. The vertical molten sulfur pump assembly is configured to pump the molten sulfur into the inlet and upwards through a discharge passageway by rotation of the impeller. A vibration sensor and a temperature sensor are disposed on an external surface of the bottom portion, on or proximate to the impeller casing and the pump inlet. The temperature sensor is configured to measure a temperature of the molten sulfur proximate to the pump inlet. The vibration sensor includes a substrate comprising a polymer and a resonant layer disposed on a surface of the substrate. The resonant layer includes an electrically conductive nanomaterial and is configured to produce a resonant response in response to receiving a radio frequency signal.

A system includes a vertical charge pump assembly. The vertical charge pump assembly includes a top portion adjacent to a first end of the vertical charge pump assembly and a bottom portion adjacent to a second end of the vertical charge pump assembly. A pump motor is disposed in the top portion and an impeller is disposed in the bottom portion within a bowl casing. A shaft is disposed within a central passageway and connects the pump motor with the impeller. The vertical charge pump assembly also includes an inlet at the second end below the bowl casing. The pump inlet and the bowl casing are configured to be immersed in a fluid, and the vertical charge pump assembly is configured to pump the fluid into the inlet and upwards through the central passageway by rotation of the impeller. A vibration sensor is disposed on an external surface of the bottom portion, on or proximate to the bowl casing and the pump inlet. The vibration sensor includes a substrate comprising a polymer and a resonant layer disposed on a surface of the substrate. The resonant layer comprises an electrically conductive nanomaterial and is configured to produce a resonant response in response to receiving a radio frequency signal.

An apparatus for detecting a transient event in an operating machine, the apparatus comprising: a controller configured to control performance of the following steps: a measurement step comprising measuring a periodic signal from a machine; a processing step comprising synchronously processing the periodic signal to track the primary frequency; a filtering step comprising removing the primary periodic component and its harmonics from the periodic signal to yield a filtered dataset; an integration step comprising integrating the filtered dataset over the remaining frequencies to yield an integrated dataset representing the periodic energy at frequencies other than the primary frequency and its harmonics; an analysis step comprising identifying a short-term transient in the integrated dataset to identify a transient disruption in the operation of the machine.

Embodiments of an axle monitoring system of the present invention generally include an oil bath cap plug equipped with a sensor assembly containing one or more power provision components, and an oil level monitor, a humidity/temperature sensor, a vibrational energy detector, and/or a GPS tracking chip, all of which are mounted on a microcircuit board, wherein the sensor assembly is adapted and configured to be fitted inside the axle oil bath cap plug. In various embodiments, information and/or data obtained by the sensor assembly can be transmitted, in raw or processed form, to one or more remote devices. Embodiments of a method of using embodiments of an axle monitoring system of the present invention are also provided.

A system, method, and non-transitory computer readable medium for diagnosing stator inter-turn faults in a Line Start Permanent Magnet Synchronous Motor (LSPMSM) are described. The method of diagnosing stator inter-turn faults in the LSPMSM includes collecting acoustic signals that are generated from a LSPMSM by a communication device, analyzing via singular spectrum analysis (SSA) the collected acoustic signals for fault detection of the stator inter-turn faults, and determining a fault diagnosis for the fault detection by executing a Fast Fourier Transform (FFT).

A method for monitoring the status of an apparatus, wherein an analog signal is converted into a digital signal with an analog-digital converter operating within a measuring range, signal portions of the analog signal extending beyond the measuring range are cut in the digital signal, a spectral analysis is applied to the digital signal to determine which frequency potions the analog signal possesses in a frequency spectrum and conclude a malfunction of the apparatus when the analog signal exceeds the measuring range, where when the analog signal extending beyond the measuring range is in the digital signal, this event is detected and determined as a number, where a signal quality is provided which is used to assess whether known damage frequencies can still be identified from determined frequency portions of the frequency spectrum, although additional overcontrol portions in the frequency spectrum occur as a result of possibly cut signal portions.

Cavitation detection systems and methods may include receiving sensor data from one or more data sources; translating a first format of the sensor data to a second format of the sensor data; transmitting the second format of the sensor data; receiving one or more requests for the second format of the sensor data; transmitting one or more responses that are responsive to the one or more requests; and triggering one or more actions based on the one or more responses.

A device for measuring a parameter indicative of a rotational speed of a component includes a wired or wireless input configured to receive a vibration signal from a vibration sensor, a boost filter configured to filter the vibration signal, based on a predetermined frequency range, into a sinusoidal signal and, a comparator configured to generate a pulse waveform signal from the sinusoidal signal in order to read the value of the parameter. Also a motor or pump controller including the device.

Apparatus and associated methods relate to a vibrational sensing system (VSS) including an accelerometer and a data processor, which determines an “operational state” of a mechanical drive unit, the processor further employing the “operational state” to gate learning of long-term vibrational data to exclude collection of non-operational data, the long-term data collected to calculate alarm thresholds. For example, vibrations from a target motor are sensed by a coupled accelerometer. Vibrational data from the accelerometer is fed into a data processor which determines the operational state of the motor. The operational state (e.g., on/off indication) may gate data collection such that data is only acquired during on-time, which may advantageously create accurate baselines from which alarm thresholds may be generated, and nuisance alarms may be avoided.