SCTI™

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UTP Ignite

Project Leader: AP. Dr. Abdul Rahim Othman

Co-PI: Ir. Dr. Mazian Mohammad

Project members:

Dr. M Faridz B Mod Yunoh @ M Yunus (Post-Doc)
Sy M Firdaus Sy A Wahab
Mohamad Hanif B Ibrahim

Department: Mechanical Engineering

Expertise: Solid Mechanics; Advanced Composite Materials; Processing; Machine Design; Finite Element Analysis

Smart Crack Technology Instrument (SCTI™)

TECHNOLOGY READINESS LEVEL: 9

BRIEF TECHNOLOGY

SCTI™ offers real time prediction of mechanical damage using AE technology. The technology combines AE bespoke Data Acquisition system with integrated data filtering algorithm, and feature analytics for interpretation of induced wave forms signal from field environment.

PROBLEM STATEMENT & CURRENT ISSUES

Unplanned downtime and maintenance costs
Lack of predictive maintenance strategy
Resource and inventory management
Risk to personnel safety
Inaccurate equipment health assessment

USEFULNESS & APPLICATION

Capture non-linearity of real-time crack occurrence and propagation due to process parameters changes that provides accurate and close monitoring of equipment healthiness
A technology for asset owner to make plant decisions, such as planned shut down or ramp up the process parameter at desire level
These information helps on optimized maintenance resources, estimated repair costs, maintenance culture change from preventive to proactive mode that led to smooth operation and maintenance activities without interruption
Technology succeeds to deployed at MTBE, PDH, PCEPE, PCFK, MRCSB, PRPC, ABF, BIF, MLNG, MCOT & PCML Plant

IMPACT OF THE PRODUCT

Early detection of mechanical issues
Improved safety and risk mitigation data-driven decision making
Enhanced equipment utilization
Cost savings through optimized maintenance

MARKET POTENTIAL

Oil & Gas industry

INDUSTRY COLLABORATION

PETRONAS (GPD PD&T)

INTELECTUAL PROPERTY (IP)

Information For

Admission

Research