Machinery Interrogation Systems & Services

'The question' is commercial in nature. Profitability and safety is the goal and if production is impacted by asset reliability then so is profitability. Machinery assets must be capable of performing their functions during given production windows and therefore equipment failure management must be incorporated in the maintenance decision process to minimize impact on production and profitability. In managing failure, the $64 question is when to make what repairs.  Counter-intuitively, it may actually be more profitable to accept a degree of damage than it is to repair a fault when it's identified. An accurate understanding of dynamic remaining useful life is paramount to making a business determination of the appropriate repair window.  These factors constitute the essence of the question that must be answered to establish the data that must be acquired to provide the necessary information. Signar is here to support you in refining the question for your specific environment and then determining the optimal course of action to be taken to answer the question and thereby maximize profitability.

...also, should the measurement be narrowband or broadband, mils, ips, or g-force, shaft or casing, triaxial or single axis, spectral or orbital, bode, etc?  And is other process data needed?  How about electrical data?  Lubricant data?  Performance data?  Torsional data?  Oh, and just how does all that data get converted to information?


Answer - it depends on'the question'.

Companies in a variety of industries need to manage their assets effectively to ensure profitability. And they all have a number of common challenges related to determining 'the question'.



·        Oil and Gas
·        Mining & Aggregates
·        Paper & Packaging
·        Chemicals and Industrial Gases
·        Rail and Transit
·        Metals
·        Utilities (power gen, T&D, water/waste, water, gas)
·        Heavy Manufacturing
·        Pharmaceutical
·        Healthcare/Hospitals
·        Data Centers

Find out more about why NASA, the US Navy, and companies like GE Power, Northrup Grumman, and Raytheon have embraced this game-changing technology.


Or perhaps you might be interested in learning what it is about PreMA that equipment manufacturers don’t want you to know.

The Signar-DEI team provides the engineering  support needed to determine not only the questions but also the answers to the questions.  Building upon decades of experience in machine reliability, we utilize RCM techniques, PdM technologies, FMECA, and PreMA - the Predictive Machinery Analyzer now trusted at the highest levels of asset-intensive industries and companies with mission critical processes, functions, and power requirements.

Intelligent Asset Management Solutions Using Advanced Machine Learning Methodologies, Coupled with AI,

the IIoT, and Cloud Space computing, providing the best analytics solution for your specific environment.

Is your industry asset-intensive?  Or does it have a mission critical process, function, or power requirement?

In order to monitor vibration on a machine you may periodically check it with a portable data acquisition device, or you can mount a sensor on the machine and transmit the signal to a PLC and interface it to the control system, or multiplex numerous signals, maybe even mount a 'smart sensor', or how about going wireless, and maybe even using a web-based monitor with local indication and text notification of an alarm...

PreMA (by the DEI-Group) is based on an Engineering Solution, utilizing only those elements of Big Data that provide value to the decision management process.  It ups the ante in Intelligent Asset Management and Machine Reliability by utilizing data fusion technologies, automation of anomaly detection and diagnostics, and unprecedented prognostic accuracy based on Dynamic Remaining Useful Life calculations.

PreMA on-line monitoring options include:

•        Lubrication monitoring
•        Diesel-generator health monitoring
•        Motor monitoring
•        Vibration monitoring
•        Breaker monitoring
•        Transformer monitoring
•        Power quality monitoring

PreMA’s primary functionality is
to provide automatically the
continuous insight into present
and future health of the
equipment components.
Prognostics is the key
functionality needed to move to
an integrated predictive
maintenance process.
Maintenance actions are
synchronized with the overall
business operational
requirements of the system, as
well as with the necessary
maintenance resources and spare
parts provisioning.

To learn more, please dial 267-632-6303 or email info@signar.com.

The IIoT is making data available like never before.  All manner of data - Big Data, little data, sensor data, categorical data, PLC data, business data, harvested data, raw data, quantitative data, performance data...

PreMA uses high fidelity mathematical model-based fault detection technology and dynamic Remaining Useful Life (RUL) estimations, based on future operating profile and exposure to environmental conditions, that provide you with decision-making information related to equipment current health, cumulative wear, and dynamic RUL.

So send out the data brigade, start acquiring googolplexes of data, and convert that data into actionable information – Right? 


Wrong!  We forgot to ask the question first.  Everything is data but information is the answer to a question.  So we must know the question in order to know specifically what data is necessary to answer the question.

PreMA’s RUL quantification links your asset risks to maintenance planning and business decision-making.  The objective or end-result of any condition monitoring solution is not only to identify evolving issues, but also to determine the optimal time-window during which maintenance is to be performed.  With PreMA, you will gain clarity and powerful insights into your business that can save you millions and improve your competitive advantage.

Enter the Signar-DEI team, Machine Learning, AI, Automated Fault Detection, Cloud Computing Computing.

Most in the industries noted above already invest in some form of machinery asset reliability management, typically using the various PdM and NDT technologies presently available.  They have become well-versed in anomaly detection but, once detected, that's when additional  "investment" becomes required.  Experts are brought in to assist.  Operations experiences a "performance variance" and  maintenance is all over it!


But There is a Better Way...

So What's the Question?  And btw, What's the Answer tothe Question?