LMS Test.Lab单参考点传递路径分析帮助工程师了解，从某个源经过一组已知的空气传播和结构传播路径到某一确定的响应位置的振动噪声能量流。该方法支持在稳态、加速或减速工况下对单个源的振动噪声问题进行贡献量分析。采用频率响应函数和工况数据对空气传播路径和结构传播路径同时或分别进行分析。
LMS Test.Lab单参考点传递路径分析解决方案具备LMS Test.Lab非常便捷的工作流程。流程中的每一阶段都给出了清晰的用户反馈。激励源-传递路径-响应模型以非常灵活的方式进行配置，可以针对研究中的不同工况条件，对不同的数据组进行比较，工况载荷可以通过动刚度法或矩阵求逆法来准确确定。
动刚度法用于识别振源与响应通过悬置连接情况下的传递路径分析。工况载荷可以通过悬置动刚度以及工作时悬置的位移来确定。在刚度曲线未知或刚性连接的情况下可以用矩阵求逆法来识别工况载荷。该技术是通过对由激振力引起响应端的结构响应而得到的加速度矩阵来进行逆向求解。
LMS Test.Lab空气声定量分析方法(ASQ)能够识别在稳态或加速、减速工况下空气声源强度及其空气传播路径。该方法有助于定量分析单个声源、多个声源，直至多个部分相关声源的工况声载荷。支持多种技术：表面振速法、声强测量和矩阵求逆法。声载荷识别可以单独完成，也可以与结构振动载荷识别同时进行。空气声传递函数的测量则是采用体积速度声源激励来进行的。
在整个应用过程中，数据显示的方式会根据具体的数据分析需要自动调整，以帮助工程师轻松处理大量的分析数据。
Engineers at International Automotive Components (IAC) – the largest acoustic materials supplier to the automotive industry – use the new LMS Test.Lab High Definition Acoustic Camera to identify noise sources in seconds compared to hours and days needed with traditional methods. Using this tool, engineers gain deeper insight into acoustic behavior and shorten turnaround times in lowering interior car noise for automakers around the world.
The old adage that children should be seen and not heard applies equally well to today’s generation of home appliances in which quietness is a ’must-have’ quality. With competitive pressures bearing down and a time crunch in developing a whole series of low-noise dishwashers, New Zealand’s Fisher & Paykel teamed up with LMS Engineering Services in some fast-turnaround detective work that quickly lowered radiated noise in time to meet tight product launch schedules.
Construction equipment is designed primarily to fulfill operational requirements, although operator comfort and noise concerns are important design considerations. Quietness is becoming a critical product attribute in construction equipment, and manufacturers that cannot measure up will have a tough time competing in the international market. Traditionally, companies try to reduce noise emissions with sound-damping add-ons and structural modifications when noise problems crop up during prototype testing near the end of product development. But these last-ditch efforts involve lots of guesswork and are costly and time-consuming, and often create more problems than they solve.
