STRUCTURING TECHNIQUES Data Mining for analysis

Boilers & Compressor - Data organization

Defining the key variables Organizing the variables in the logical sequence of influence The order of influence should ideally be from left to right (ascending from left

to right) Statistical inferences should be available for each parameter Normalization is the process of finding the distance of the cluster nucleus from

an ideal desired value (DV) Standardization is the normalization process in MS-EXCEL that needs to be used

extensively to account for data clusters Averaging out the normalized values for each of the key parameters TO GET A

SINGLE VALUE DESCRIBING THE STATE OF THE PROCESS ON THE EQUIPMENT Plotting the normalized values to track relative performances of each

equipment INTERDEPENDENCE OF THE VARIABLES IN DEFINING THE OVERALL

PERFORMANCE OF THE EQUIPMENT IS THE KEY DERIVATIVE OF THE DATA STRUCTURE

DEFINING THRESHOLDS THROUGH NORMALIZATION TECHNIQUES

Integrating variables around the standard

Illustrating the normalization process

Cluster-1 with scattered data points Cluster-2 with closely populated data points

Cluster-1 has a longer distance from the nucleus

Cluster-2 has a shorter distance from the nucleus

Desired value- NUCLEUS

Normalizing an indicator

An indicator can be evaluated based on the normalization technique

A cluster of data might have co-ordinate values that are skewed from the desired path

A single measure that indicates the distance of the cluster from the standard is the key

Farther the distance from the nucleus, greater is the value of the skew

Evaluating the distance The distance is denoted by an indicator This would be a negative indicator Negativity indicates a hovering around the

nucleus but is just short of the target Positivity includes that the standards have

been overshot Negativity implies that there should be a

convergence around 0- the nucleus Positivity implies that the paradigms of

standards have to be uplifted; in other words, “the bar has to be raised”

MACHINERY QUALITY INDEX (MQI) CONCEPTUALIZATION

Defining an index - MQI

Conceptualizing the MQI

MQI = MACHINERY QUALITY INDEX

MQI = EXP(normalized values) EXP => exponential function amplifies the

low entropy of a normalized trend and delivers a reasonable index to reflect the state of the process

Comparative analysis for Normalization V/S MQI grades

Normalization• Linking the variables that form

the matrix for defining equipment performance

• Indicates the cumulative distance from the standard on each parameter as also on the summative assessment

• Intuitive explanation on an equipment’s performance

• Tailor-made for the core-professionals who are deputed on the job

MQI• Gross index describing relative

performance• Movement around the

standard is neither implied nor indicated

• Scale is relative and NOT intuitive and hence only describes a perception

• Suitable to describe the performance to non-core professionals or stakeholders