What are we offering?

The field of Predictive Maintenance (PdM)

is providing a strong and growing set of

tools, techniques and technologies to

optimize operations, maintenance and

renewal processes of industrial assets.

Condition monitoring techniques, in

particular, yield valuable insight into the

state of health of industrial equipment,

providing clues and hints on expected

future performance profiles and related

risks of performance flaws.

Cassantec is taking these clues and hints

several steps further. Through the use of

a leading-edge predictive computational

model based on mathematical best-

practice techniques, we are able to provide

structured, illustrative, quantitative and

conclusive insights into expected reliability,

remaining useful life (RUL) and latent

malfunction risks of equipment, going far

beyond conventional PdM offerings.

Our Reliability Report is a periodical (e.g.

daily) advanced and aggregated profile

summary on complex, critical industrial

equipment, allowing to schedule targeted

service interventions and outages over

various time horizons to

optimize operations and

maintenance processes.

We provide this report

electronically, either in

a PDF format or as a

MS Excel tool, including

functions for illustration,

exploration, validation

and testing for reliability

managers and in-house

condition experts.

Why is this useful for you?

Cassantec‘s Reliability Report exceeds the

benefits of conventional diagnostic reports

through its prognostic power, aggregated

scope and outage decision focus.

Tangible, quantifiable benefits for

maintenance budget providers include

� Reduced preventive maintenance

costs (postponed outages)

� Reduced reactive maintenance

costs (malfunctions caught early)

� Reduced fire fighting effort

Benefits for reliability managers include

� Aggregated diagnostic insights

� Transparent prognostic insights

over a 100-day time horizon

� Justifiable outage decisions

Benefits for condition experts include:

� Exchange of experience on

important condition parameters

� Shared ownership of alarm decision

� Contribution to next-generation

prognostic reporting standards

Hence, a Reliability Report

addresses interests of multiple

stakeholder groups through a

mix of financial, operational and

personal incentives, targeting

reduced risk, cost and effort of

inappropriate maintenance

interventions and unexpected

outages through advanced

diagnostic insights and

enhanced prognostic foresight.

Exemplary Reliability Report for critical industrial equipment

CassantecReliability Report

Next-generation equipment condition monitoring, risk analysis, lifetime estimation and outage optimization

CassanCassanCassanCassantectectectec

Zurich, Switzerland ���� Cleveland, Ohio, U.S.A.

Who is Cassantec?

Founded in Zurich, Switzerland in 2007,

Cassantec (abbreviated for Cassandra

Technologies) provides next-generation

predictive technolo-

gies for equipment

condition monitoring,

malfunction risk

analysis, remaining

lifetime estimation

and optimal outage

scheduling.

Our technologies are

based on a novel

blend of best-practice

techniques from

Operations Research,

Artificial Intelligence

and Data Mining. To render these

technologies, Cassantec offers complete

software solutions and complementary

reporting services for leading companies in

the power, chemical, petrochemical, steel,

mining and other industries world-wide.

Cassantec is led by an international team

of accomplished professionals with strong

methodology and technology backgrounds.

We are being promoted by the Swiss

government’s CTI program, and cooperate

with world-renowned universities.

References include completed and

ongoing collaborations with power and

chemical corporations as well as with

equipment manufacturers in the U.S.A.,

Europe and Japan.

Cassantec is a strategic cooperation

partner of Insight Services in Cleveland,

Ohio, U.S.A.

Where can you find us?

We are physically present in Europe and

North America, and able to offer our

products and services internationally.

Please contact us by e-mail or telephone

to obtain further information or a price

quote for a Reliability Report. Please be

prepared to provide a specification of the

equipment type(s) and model(s).

If you have established condition moni-

toring processes, we will need to arrange

a download and transfer of condition data

such as thermal, vibration and lubricant

analysis data. If you are new to condition

monitoring, we would like to provide a

more thorough presentation for you.

Zurich Office

Cassantec Ltd.Technopark ZurichTechnoparkstrasse 1CH-8005 Zurich

Switzerland

T: +41 44 445 2260F: +41 44 445 2261

Cleveland Office

Cassantec U.S. OfficeInsight Services Center20338 Progress DriveCleveland, OH 44149

U.S.A.

T: +1 216 220 4890F: +1 216 251 2515

E: info.@.cassantec.comW:www.cassantec.com

Copyright © 2010 by Cassantec Ltd. Last update: January 2010

Cassandra, prophet of critical future eventsin the Greek mythology

How does this work?

The basis of Cassantec‘s Reliability Report

is a predictive computational model based

on a novel and unique combination of

mathematical best-practice techniques. In

particular, the model combines advanced

Markovian and Bayesian techniques to

determine condition parameter trends,

malfunction risk profiles, and remaining

useful life (RUL) of critical equipment.

Diagnostic and prognostic results are

displayed in a decision-oriented report,

allowing to identify redundant maintenance

tasks and to retain only justifiable service

intervention in the outage schedule.

Our computational model is fed by two sets

of equipment data:

� A set of historical condition and

process data, typically including

thermal, vibration and lubricant

analysis results. If condition data is

insufficient, or not archived at all,

we may be able to provide

comparable condition data from

identical equipment models.

� A complete set of up-to-date

condition and process data

downloaded from the equipment.

Condition data updates are

necessary for automated updates

of the Reliability Report.

Our computational model allows numerous

additional simulations, sensitivity analyses

and statistical tests to ascertain the robust-

ness of our diagnostic insights, prognostic

foresight and recommendations. Some of

these functions are offered through the MS

Excel versions of our report.