PeakVue technology not only offers the earliest warning of

developing faults, it also provides an indication of severity.

Measurements can be translated into reliable trends to

determine the optimal timing for maintenance. Machinery

faults are clearly visible in the waveform, opening up new

options for fault detection and diagnosis.

PeakVue Plus Analytics – The latest evolution of this

ground-breaking PeakVue technology is referred to as

“PeakVue Plus Analytics”. This innovative approach mimics

the process that an analyst would apply to determine the

nature of an abnormal situation, once it has been identified

on a machine based on the PeakVue level. At a high level,

machine faults can be categorized as mechanical or non

mechanical. Mechanical faults are caused by defects in

rolling element bearings or gears, and the signals they

generate are highly periodic. In contrast, non-mechanical

signals are typically the result of under-lubrication of the

bearing (or potentially cavitation on pumps). The signals

generated by under-lubrication are non-periodic –or

random – in nature. A trained analyst would employ a

technique called “Autocorrelation” to distinguish between

these two types of defects. In a similar manner, PeakVue

Plus Analytics applies autocorrelation and series of

sophisticated algorithms to determine the root cause of the

defect on a given machine.