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RELIABILITY ENGINEERING
Reliability Engineering and the approach to how reliability engineering will be accomplished will depend on the type of technology used, program objectives and requirements. These technologies include electronic, electrical and mechanical items or systems, which themselves could be a developmental, non developmental or commercial off the shelf solution. RMS Aerospace will tailor a Reliability Program to match your needs.
The reliability analyses can be used to define the quantitative parameters for an item, equipment or a complete system, and may be expressed in number of failures in a given set period of time, set number of cycles or set number of operations. Reliability Analysis is accomplished using MIL-STD-1629A, MIL-STD-189, MIL-HDBK-217F as a guide.
Services we can offer you in the Reliability Engineering area is as follows:
- Mean-Time-Between-Failures Analysis (MTBF)
- Mean-Time-Between Unscheduled Removal (MTBUR)
- Mean-Time-To-Repair (MTTR)
- Failure Modes and Effects Analysis (FMEA)
- Failure Modes and Effects Criticality Analysis (FMECA)
- Reliability Predictions Reports (RPR)
- Life Data Analysis (LDA)
- Reliability Block Diagram (RBD)
- Accelerated Life Testing Analysis (ALTA)
- MSG-3 Analysis (MSG-3)
MEAN TIME BETWEEN FAILURE (MTBF):
Mean time between failures MTBF is another way some engineers and designers refer to MTBF. For Mean Time Between Failure calculations, we use Relex Software modules for an unprecedented level of power and flexibility for our analyses with the newest reliability standards. Reliability standards in manufacturing and design are crucial and require consistent measuring tools. Our modeling can help you ascertain Mean Time Between Failures for a wide variety of components, including actuators, connectors, optoelectronic devices, inductive components, relays, solenoids, pumps and more.
MEAN TIME BETWEEN UNSCHEDULED REMOVAL (MTBUR):
MTBF numbers represent a statistical approximation of how long a set of devices should last before failure. MTBF numbers are not valuable at determining when a specific device will fail. MTBF numbers are usually stated in terms of hours. Systems tend to experience a high failure rate during an initial burn-in period. During this period, manufacturing defects lead to a large number of early system failures.
MEAN TIME TO REPAIR (MTTR):
MTTR is the amount of time between when something breaks and when it has been repaired and is fully functional again. MTTR numbers are calculated for each component and service. If a redundant component fails, that component may have a MTTR of two days, but the service will not be interrupted and will therefore not have an MTTR. Reducing MTTR for a system can be an important step in improving uptime and service levels.
FAILURE MODES AND EFFECTS ANALYSIS (FMEA):
Failure Modes and Effects Analysis FMEA is methodology for analyzing potential reliability problems early in the development cycle where it is easier to take actions to overcome these issues, thereby enhancing reliability through design. FMEA is used to identify potential failure modes, determine their effect on the operation of the product, and identify actions to mitigate the failures. A crucial step is anticipating what might go wrong with a product. While anticipating every failure mode is not possible, the development team should formulate as extensive a list of potential failure modes as possible.
FAILURE MODES AND EFFECTS CRITICALITY ANALYSIS (FMECA):
Failure Mode, Effects, and Criticality Analysis FMECA is an extension of FMEA and is necessary to accomplish the FMEA which identifies a given systems MTBF. In addition to the basic FMEA, it includes a criticality analysis, which is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value.
RELIABILITY PREDICTION REPORTS (RPR):
Reliability prediction reports RPR are developed for the analysis of parts and components in an effort to predict and calculate the rate at which an item will fail. A reliability prediction is one of the most common forms of reliability analyses for calculating failure rate and MTBF.
LIFE DATA ANALYSIS (LDA):
The objective of reliability engineering and life data analysis is to accurately estimate the true value of the probability of failure, the probability of success (or reliability), the mean life of a component. The LDA and Reliability approach is a theoretical and practical use of tools whereby the probability and capability of parts, components, equipment, products and systems to perform their required functions for desired periods of time without failure.
RELIABILITY BLOCK DIAGRAMS (RBD):
Reliability Block Diagram RBD techniques are unmatched for analyzing the reliability metrics of complex, large scale systems. By providing support for redundant configurations and other real-world scenarios, RBD’s enable you to accurately evaluate your true system metrics.
ACCELERATED LIFE TESTING ANALYSIS (ALTA):
ALTA testing captures Failure Time Regression FTR data are observed failure times of units functioning under various values of explanatory variables also referred as (regressors, stressers, covariables) such as temperature, voltage, load, pressure, humidity, design and manufacture. The purpose of FTR is to estimate reliability under specified values of interest. ALT data is collected is collected from experiments under higher than usual stress conditions and reliability.
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