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Equipment Failure Forensic Analysis – Preventing Breakdowns

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Equipment Failure Forensic Analysis
  • October 14, 2024
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Understanding the nature of equipment failures is crucial and a long-awaited concept for forensic analysis. The visualized and analyzed data was used to detect the root causes of failures, leading to enhanced equipment performance with reduced failure rates due to actionable insights gathered from this analytic approach. This article will explore the nuances of a straightforward forensic analysis of equipment failure, focusing on different techniques used and methodologies employed; shedding some light on how Analytika service provision can help avoid such breakdowns in the future.

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Understanding Equipment Failure Forensic Analysis

Equipment failure forensic analysis beyond the definition

Life cycle of an investigation into equipment breakdown or malfunction. The process includes collecting and studying data from the site, examining defective parts returned to head office (recalled for their fault); understanding operational parameters which cause failure; complete investigation of photos available depicting failure. The intent is primarily to fix any deficiencies that may have resulted in the incident and to improve maintenance procedures.

Equipment Failure Forensic Analysis

Types:

Equipment failures can be grouped into several types such as:

  •         Mechanical Failures: when failure occurs due to general wear and tear, fatigue, or improper assembly.
  •         Electrical Problems: Failures caused by short circuits, failure of the insulation, or breakdown between parts.
  •         Thermal Failures: caused by overheating, thermal fatigue, or insufficient cooling.
  •         Hydraulic Failures: Issues like fluid leaks, pressure loss, or contamination.
  •         Software Failures: Actual problems, if any occurred due to software bugs, malfunctions, or errors, etc.

Data Collection in Equipment Failure Forensic Analysis:

The first process that is part of forensic analysis is the collection piece. This data covers maintenance records, activity logs, environmental conditions, and reports on any previous failure events. Detailed documentation can contribute to a full profile of equipment performance over time.

Visual Examination:

The examination of the defective unit should be very detailed as in many direct and simple cases a visible problem can manifest damage, wear, or failure. This step generally comprises the breakdown of tools to evaluate individual intricate parts and surfaces. We take pictures and detailed notes of the findings.

Methods of Non-Destructive Testing (NDT):

You may employ non-destructive testing techniques to evaluate the appropriateness of materials and components without causing additional destruction.

  •         Ultrasonic Testing: Detects internal flaws by using high-frequency sound waves.
  •         Radiographic Testing (RT): It uses X-rays or gamma rays to detect internal flaws in a material. This type of NDE helps us also in detecting the surface and near-surface discontinuities over ferromagnetic materials, it is called Magnetic Particle Testing.
  •         Eddy Current Testing: Small electrical coil induces electric current to locate porous zones, cracks, and corrosion.

Failure Mode and Effects Analysis (FMEA):

FMEA is a systematic methodology to identify potential failure modes of equipment performance, their causes, and their effects. This analysis is a good tool for classifying risks and prioritizing them in terms of their severity, occurrence, and detectability. Unlike failure analysis, FMEA is a proactive tool to prevent failures in design and manufacturing or planning of maintenance.

Root Cause Analysis (RCA):

There are a few terms for this but RCA is used frequently and simply means the process of finding out why something failed, really getting to that root cause. Different RCA tools:

  • Five Whys: Keep asking why until the actual root cause appears.
  • Fishbone Diagram: (Also called a Cause and Effect diagram or an Ishikawa). This tool organizes potential causes of failure into major categories.
  • Fault Tree Analysis (FTA): A top-down approach that models the pathways to a failure.

Corrective and Preventive Actions (CAPA):

The forensic analysis leads to corrective and preventive actions implemented in order to rectify the identified issues. Corrective actions repair the now, while preventive measures address root causes to prevent reoccurrence.

What Analytika Does to Stop Future Breakdowns:

Building analytics services:

Comprehensive building analytics service by Analytika is an advanced way of monitoring a building which helps in improving reliability and performance. Fault detection algorithms keep a watchful eye on environmental conditions, equipment performance, and other process indicators multiple times each second so that potential issues are spotted early enough before they turn into full-blown failures.

Predictive Maintenance:

Calling in the cavalry… One of the few offerings that Analytika offers is predictive maintenance. Predictive maintenance uses data analytics, machine learning to predict when equipment might fail and schedule preventive maintenance. This leaves little room for uncertainty in the operation and ensures reduced unexpected downtimes as well as lower maintenance costs, thus prolonging the life of facilities.

Energy Mountains:

Good energy management is the first step in maintaining the efficiency of your appliances and avoiding thermic breakdowns. Energy Analytics Services by Analytika helps you optimize your energy consumption, identify inefficiencies, and suggest improvements. It not only lowers operation costs but also minimizes the risks of equipment overheating and its following failures.

Equipment Failure Forensic Analysis

Case Study – Improving Equipment Reliability with Analytika

Let me tell you about a manufacturing plant which was having regular failures of its most critical equipment leading to huge production losses. Through Analytika’s holistic building analytics & predictive maintenance services, the equipment health can be monitored round the clock and early signs of wear tear, if any, are detected to schedule timely maintenance. The plant recorded a 30% decrease in equipment failures, greater production efficiency, and significant cost savings.

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Equipment Failure Forensic Analysis Monitoring and Maintenance Best Practices

Monitoring and Early Detection of Potential Problems:

A solid maintenance schedule and real-time monitoring tools like those provided by Analytika can identify problems before they become breakdowns.

Training and Knowledge:

Maintenance personnel and operators must receive proper training so that they are well familiarized with the equipment under their care. Training on a regular basis and updated manuals/documentation can bolster their ability to detect issues that may escalate into future problems.

How to Develop a Successful Equipment Failure Prevention Strategy:

Risk Assessment and Management:

The first step in creating a successful strategy is identifying potential failure points or vulnerabilities through regular risk assessments. It means working out the likelihood and impact of different ways things can go wrong and deciding on their relative importance.

Technology Integration:

Integrating IoT sensors, data analytics, and machine learning as part of your monitoring the assets can greatly help in predicting failures. Analytika offers a range of services to enable this integration.

Continuous Improvement:

Adopting a culture of continuous improvement maintains the efficacy of your equipment failure prevention strategy over time. Ongoing success comes from periodically reviewing and updating maintenance practices, incorporating feedback from forensics’ analysis, and staying up on new technologies.

Conclusion:

Forensic analysis of equipment failures is an important step in understanding why this occurs and how to prevent breakdowns from happening again. Systematic investigation of failures, execution of corrective and preventive actions along with using advanced analysis tools for predictive maintenance ensures improved equipment reliability while reducing downtime, hence considerable savings. In this regard, Analytika’s building analytics solutions play an important role by providing continuous visibility which extends beyond real-time monitoring and fault detection to predictive maintenance. Integrating these services into your equipment management gives you security both for operations as well as improvement of efficiency and ensures overall success with a long-term perspective on aggregation business.

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