Emerson AMS 2140 Mechanical Health™ Analyser Earliest Detection

Building on Field-Proven Technology

Emerson’s next generation vibration analyzer builds

on the field-proven, industry-leading technology of its predecessors.

Earliest Detection of Bearing and Gear Wear –

1. Detecting imbalance or misalignment is simple with most

data collectors, but these issues are the least impactful of

the faults you will find on your equipment. Over 50% of

mechanical faults are due to bearing and gearbox issues.

And most data collectors do not have the technology to

detect these faults as they are developing – and can only

find them when the machinery is already damaged and near failure.

The AMS 2140 uses Emerson’s patented PeakVue™

processing and applies digital technology to determine

bearing and gear wear earlier than any other technology.

By measuring stress waves emitted from impacting – the

earliest sign of bearing and gear wear – the AMS 2140 gives

you time to plan for maintenance on your machine – while

avoiding significant, and costly, damage.

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.