For the prevention of parasite infestation of animals, an isoxazoline can be administered by drinking water route. However the inventors have found that when the drinking water is sanitized, for instance by using hypochlorite, the isoxazoline becomes degraded. Surprisingly, the isoxazoline can be protected from degradation by the use of a vitamin E. A pharmaceutical composition can now be prepared containing a concentrated solution of the isoxazoline in a solvent and co-solvent, with vitamin E. The composition can be diluted in drinking water, even when sanitized, to prepare medicated drinking water for animals. This way an anti-parasitic treatment can be mass-administered, leading to a highly effective reduction of the parasite infestation of an animal, and its surroundings.

A method for monitoring the operation of a machine that generates vibrations, includes a learning phase in which a knowledge base containing vibrational signatures representative of the operation of the machine is generated, and a monitoring phase in which the vibrations of the machine are compared to the knowledge base so as to detect an anomaly in the machine.

A vibration data collection device monitors vibration of a machine, generates original machine vibration waveform data based on the monitored vibration, and removes portions of the original machine vibration waveform data that do not indicate an occurrence of a vibration event related to a potential fault in the machine. The vibration data collection device then stores thinned waveform data that includes blocks of the original machine vibration waveform data and excludes the portions that have been removed. A data analysis computer generates a thinned waveform plot based on the thinned waveform data. In some embodiments, the thinned waveform plot includes the blocks of original machine vibration waveform data separated in time by gaps representing the portions that have been removed. In some embodiments, the thinned waveform plot that includes the blocks of the original machine vibration waveform data and representative blocks of data that each represent the portions of the original machine vibration waveform data that have been removed. A display device displays the thinned waveform plot for viewing by an analyst.

A method detects a defect in a vibration sensor including the whitening of the vibratory signal delivered by the vibration sensor, and the calculation of an indicator of asymmetry of the whitened vibratory signal. The whitening may be a cepstral whitening implemented simply by dividing the Fourier transform of the signal by its modulus. The asymmetry indicator is a counter of aberrant points in the whitened vibratory signal.

A vibration data collection device monitors vibration of a machine, generates original machine vibration waveform data based on the monitored vibration, and removes portions of the original machine vibration waveform data that do not indicate an occurrence of a vibration event related to a potential fault in the machine. The vibration data collection device then stores thinned waveform data that includes blocks of the original machine vibration waveform data and excludes the portions that have been removed. A data analysis computer generates a thinned waveform plot based on the thinned waveform data. In some embodiments, the thinned waveform plot includes the blocks of original machine vibration waveform data separated in time by gaps representing the portions that have been removed. In some embodiments, the thinned waveform plot that includes the blocks of the original machine vibration waveform data and representative blocks of data that each represent the portions of the original machine vibration waveform data that have been removed. A display device displays the thinned waveform plot for viewing by an analyst.

One preferable aspect of the present invention is a state detecting system which detects a state of a machine device based on a detection signal from a detecting element provided to the machine device, and is the state detecting system which includes a non-normal time rate detecting unit which detects a rate or a value as a non-normal time rate, the rate being a rate of an integration value of a time during which an amplitude of the detection signal exceeds a predetermined normal amplitude within a predetermined time, and the value being physically equivalent to the rate.

One preferable aspect of the present invention is a state detecting system which detects a state of a machine device based on a detection signal from a detecting element provided to the machine device, and is the state detecting system which includes a non-normal time rate detecting unit which detects a rate or a value as a non-normal time rate, the rate being a rate of an integration value of a time during which an amplitude of the detection signal exceeds a predetermined normal amplitude within a predetermined time, and the value being physically equivalent to the rate.

A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

One aspect of the present technology relates to a safety cable vibration monitoring system. The system includes a vibration sensor configured to be coupled to a safety cable. A vibration monitoring computing device is coupled to the vibration sensor. The vibration monitoring computing device includes a processor and a memory coupled to the processor which is configured to execute one or more programmed instructions comprising and stored in the memory to receive data from the vibration sensor. An occurrence of a fall event related to use of the safety cable is determined based on the received data from the vibration sensor. A method of monitoring a safety cable and a safety cable monitoring network are also disclosed.

Methods and systems for cleaning an optic include cleaning an optic with ultrasonic vibrations. The locations of nodes in a standing wave of the ultrasonic vibrations are changed by changing a frequency of vibration during cleaning.